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42 results about "Weighted least squares estimation" patented technology
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Two-stage linear weighted least-square power system state estimation method
ActiveCN102801162AEasy to identifyImprove identification efficiencyAc network circuit arrangementsNODALVoltage amplitude
The invention provides a two-stage linear weighted least-square power system state estimation method which is characterized by comprising the following steps of: forming a network model, and calculating a node admittance matrix and a branch-node relationship matrix; transforming a measurement vector and a state vector; forming an accurate linear measurement equation; performing the first stage of linear weighted least-square estimation to obtain the estimated value of the transformed state vector; performing inverse transformation, and performing the second stage of linear weighted least-square estimation to obtain the estimated values of the voltage amplitudes and phase angles of all nodes; and identifying bad data. According to the two-stage linear weighted least-square power system state estimation method provided by the invention, more scientific state estimation result can be obtained, the calculation efficiency is higher, and the engineering application prospect is good.
Owner:TSINGHUA UNIV +1
TDOA-AOA positioning method considering position error of base station
The invention relates to a TDOA-AOA positioning method considering a position error of a base station. The method comprises the following steps: 1) arranging a wireless sensor network in a two-dimensional space, and measuring, by each base station, an arrival time dereference and angles of a measurement target node and a reference node under a noise condition; 2) selecting the first base station as the reference base station, and obtaining a signal transmission path distance difference relative to the reference base station according to the arrival time dereference of signal transmission paths; 3) establishing a least square target estimation algorithm according to the measured values in the previous two steps and the known position of the base station; 4) due to the existence of the basestation error and the measurement error, analyzing the errors, and importing a weight matrix to achieve weighted least square estimation; and 5) reconstructing the weighted least square estimation, and using the semi-definite relaxation technique to transform the weighted least square into a semi-definite planning problem with linear equality constraints and linear inequality constraints via laxity rank constraints, and then solving a globally optimal solution by using an inner point method.
Owner:TIANJIN UNIV
Compressed sensing based sparse channel estimation method in two-way relay network
InactiveCN102833193ARaise attentionHigh precisionBaseband system detailsEstimation methodsResidual value
The invention discloses a compressed sensing based sparse channel estimation method in a two-way relay network. The method includes: according to actual signals received in a second time slot by a current user terminal and a Gaussian random training sequence sent by each user terminal in the two-way relay network, subjecting an equivalent channel vector between the current user terminal and a relay node to channel iterative loop estimation to obtain a channel estimation value; and using a weighted least square estimation method during channel iterative loop estimation to continuously weaken influences of abnormal samples corresponding to positions with large residual values after the last iteration and enhance attention to favorable samples corresponding to positions with small residual values, so that precision and robustness in sparse two-way relay channel estimation can be effectively improved. Further, since the compressed sensing based sparse channel estimation method in the two-way relay network makes full use of potential sparse characteristics of two-way relay channels, the Gaussian random training sequences required by estimation can be greatly reduced, estimation efficiency is improved, and energy and bandwidth utilization rate is greatly increased.
Owner:NINGBO UNIV
Method for establishing a commercial real estate price change index supporting tradable derivatives
InactiveUS20090018975A1Eliminate the problemFinanceElectric/magnetic computingThree stageSelf correlation
Method for establishing a commercial real estate price change index supporting tradable derivatives. The method utilizes a database of price changes actually experienced by individual commercial properties including allowing for gradual accumulation of price data. The database is filtered with selected data filters and time-weighted dummy variables are specified. A repeat-sales regression is performed on the filtered database to create the index. The repeat-sales regression includes a weighted least squares estimation in which weights are determined in a three-stage regression process. A ridge regression noise filter in which a first order autocorrelation coefficient in estimated index price-change returns controls the ridge estimation, and the first autocorrelation coefficient is near 0. The index is optimized for derivative trading purposes by excluding backward adjustments and a scope and frequency for the index is selected. The index may be used for tradable derivatives.
Owner:MASSACHUSETTS INST OF TECH
RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in wireless sensor network
ActiveCN102364983AHigh positioning accuracyEasy to implementNetwork topologiesWireless mesh networkHardware complexity
The invention relates to an RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in a wireless sensor network, which comprises the following steps that: firstly, in a positioning process, a channel fading factor n is calculated by weighting; secondly, a distance between an unknown node and a beacon node is measured by RSSI ranging; and finally, a coordinate of the unknown node is estimated by a weighted least squares algorithm (WLS). Based on the same hardware complexity of the positioning algorithm and the least squares (LS) estimation algorithm, the positioning accuracy is greatly enhanced, therefore, the method provided by the invention is simple and easy to implement, and has a stronger practical value.
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
Parameter estimation method for electric power circuit in T-type connection
ActiveCN102508086AEffective estimateHigh precisionResistance/reactance/impedenceElectrical testingSCADAElectric power system
The invention discloses a parameter estimation method for an electric power circuit in T-type connection, which belongs to the technical field of parameter identification and estimation for circuits of power systems. A computer and data acquisition devices at three ends of the circuit in T-type connection are adopted, SCADA (supervisory control and data acquisition) measured data for the circuit in T-type connection under a plurality of load levels at multiple time intervals are imputed by the aid of a program, then a weighted least squares estimation model is solved to obtain estimated values of parameters of the circuit in T-type connection under one load level, namely a sample of estimation values, then a mean value of a plurality of samples of estimation values is calculated, coefficient variations of the samples are used as convergence tolerance of parameter estimation precision, and finally estimation values of the parameters of the circuit in T-type connection are obtained. By the aid of the parameter estimation method, the parameters of the circuit in T-type connection can be effectively estimated, and the parameter estimation method has the advantages of simplicity, quickcalculation speed, high estimation precision, good stability of data, high engineering practicality, convenience in popularization and application, and the like. In addition, the parameter estimationmethod can be widely applied to parameter estimation of optional electric power circuits which are in T-type connection and are provided with data acquisition devices.
Owner:STATE GRID CORP OF CHINA +4
Robust state estimation method based on piecewise linearity weight factor function
InactiveCN103336904AProcessing accuracyTake advantage ofSpecial data processing applicationsEstimation methodsElectric power system
The invention provides a robust state estimation method based on a piecewise linearity weight factor function and belongs to the technical field of power system computation. The method includes the steps of step 1, establishing a robust state estimation model based on the weight factor function, step 2, selecting and measuring a weight factor function equation and determining and measuring equivalent weight factors, and step 3, solving the variable weight factor robust state estimation model, and obtaining and outputting estimation results. Aiming at section difference of traditional weight least square estimation on bad data identification, the robust state estimation method based on the piecewise linearity weight factor function is proposed, a weight least square estimation method and the robust estimation principle are combined, therefore, computation efficiency and quickness of the weight least square estimation are reserved, and also the state estimation algorithm has high robust performance.
Owner:STATE GRID CORP OF CHINA +1
Target radiation source positioning method based on TDOA
InactiveCN111123197AReduce the impact of positioning performanceOptimize the final solutionPosition fixationDescent algorithmComputational physics
The invention discloses a target radiation source positioning method based on TDOA. According to the invention, a corresponding non-line-of-sight sensor vector is defined and the non-line-of-sight sensor vector is initialized according to received time difference parameters so as to correct original time difference parameters. And an intermediate variable is selected, a target radiation source TDOA pseudo-linear estimation model is constructed, and weighted least square estimation is applied to obtain position estimation of the target radiation source. And a result is corrected iteratively byusing a gradient descent algorithm. And finally, final target position estimation is provided by utilizing a relationship between the intermediate variable and a target position estimation coordinateand applying weighted least square estimation again. After introduction of a proper intermediate variable, a target radiation source TDOA measurement equation which is not easy to solve directly is converted into a pseudo-linear estimation model; meanwhile, a gradient descent algorithm is combined, so that the influence on the positioning performance due to possible non-line-of-sight errors is reduced. And finally, the final solution of the position coordinates is further optimized.
Owner:HANGZHOU DIANZI UNIV
Scanning radar angular super-resolution imaging method
ActiveCN104111454AReduce signal to noise ratioReduce time complexityRadio wave reradiation/reflectionTime complexityReal time signal processing
The invention discloses a scanning radar angular super-resolution imaging method which comprises the following specific steps: defining an autocorrelation matrix and carrying out initialization, constructing a recursive function, finding an inverse matrix of the autocorrelation matrix, estimating azimuth parameters, calculating echo autocorrelation matrix, and judging whether iterate to a convergence state and outputting super-resolution results meeting the convergence state. According to the method in the invention, the autocorrelation matrix of azimuth signals is obtained by utilizing the convolution operation; the block tridiagonal features of the autocorrelation matrix is utilized and a divide-and-conquer algorithm, that is, the D&C algorithm, is adopted to realize quick inversion finding of the autocorrelation matrix; and finally, the weighted least square estimation is carried out on a target in an iteration manner. Compared with the prior art, the method can be suitable for relatively-low signal to noise ratio, and robust super-resolution imaging results can be obtained by utilizing single scanning data; and meanwhile, time complexity is greatly reduced, and the method is suitable for real-time signal processing.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Method for detecting satellite clock anomaly
ActiveCN110133997AEfficient detectionAccurate timingRadio-controlled time-piecesRegulating apparatusErrors and residualsWeighted least squares estimation
The invention discloses a method for detecting a satellite clock anomaly. After a satellite signal is decoded, message information is obtained and is sent to a CPU. The CPU judges whether an information stream read from the message information is accurate or not. If the information stream is accurate, a time processing module is controlled to tame PPS through utilization of a1PPS. Standard difference between the 1PPs and world standard time, and an accumulated error of the PPS are estimated through establishment of a weighted least square estimation model. The estimated standard difference iscompared with a standard difference set value of a GPS / BDS receiver. When the estimated standard difference is smaller than the set value, the time processing module carries out error correction on the PPS and carries out continuity and tendency judgment on a time interval error of the corrected PPS. If no error exists, a satellite clock is normal. Corrected PPS is output. According to the method,through multistep detection, whether the satellite clock is abnormal or not can be effectively identified, a high precision clock signal is output, and influence of satellite clock anomaly on outputtime of a time synchronization device is prevented.
Owner:CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
Pulse ultra wide band signal detection method based on compressed sensing
InactiveCN103117819AReduce computing costImprove robustnessTransmission monitoringSignal-to-noise ratio (imaging)Estimation methods
The invention discloses a pulse ultra wide band signal detection method based on compressed sensing. The pulse ultra wide band signal detection method based on compressed sensing includes the steps: utilizing random sampling in the compressed sensing theory to sample on received signals at a signal detection end, greatly reducing sampling rate which is needed by detection, and meanwhile arranging a stop condition which conducts part reconfiguration on the emitted pulse ultra wide band signals according to a specific parameter of a pulse ultra wide band emitter. The pulse ultra wide band signal detection method based on compressed sensing effectively reduces calculation cost of a detection method, utilizes a weighting least square estimation method to continuously reduce influence of an abnormal sample which corresponds to a position with a large residual value after the previous iteration, effectively improves rate of convergence of part reconfiguration process, guarantees orthogonality of the residual value and a chosen optimal vector, improves robustness of the detection method, obviously improves detection success rate under the condition of low signal-to-noise ratio, finally conducts detection judgment of signals by directly processing a part reconfiguration value through compressed sampling and simplifies achieving difficulty of the detection process.
Owner:NINGBO UNIV
Determining a Geolocation Solution of an Emitter on Earth Based on Weighted Least-Squares Estimation
ActiveUS20080252525A1Accurate estimateDirection finders using radio wavesPosition fixationGeolocationError function
Embodiments provide systems and methods for determining the geolocation of an emitter on earth based on weighted least-squares estimation based on two TDOA and two FDOA measurements, none of which need to be acquired at the same time. The four TDOA and FDOA measurements and the errors in each of the measurements are determined. Weights for the errors in the TDOA and FDOA measurements are determined, and the weights are applied in a weighted errors function. The weights account for the errors in the measurements and the errors in the satellite positions and velocities, and are dependent on the localization geometry. The weighted errors function is minimized to determine the location estimate of the unknown emitter.
Owner:GLOWLINK COMMUNICATIONS TECHNOLOGY INC
Airborne radar real-time Doppler beam sharpening super-resolution imaging method
ActiveCN109613532ASatisfy real-timeQuick estimateRadio wave reradiation/reflectionComputation complexityDoppler beam sharpening
The invention provides an airborne radar real-time Doppler beam sharpening super-resolution imaging method, and belongs to the field of radar detection and imaging. Through a method of scanning-whileobtaining-while processing, Doppler beam sharpening (DBS) super-resolution imaging is realized by fast iterative weighted least squares estimation for echo signals of current adjacent coherent processintervals (CPI), and a next CPI weighted least squares estimation result is recursively updated by utilizing the spatial correlation of adjacent CPI azimuth echoes, so that the convergence speed is improved, and computational complexity is greatly reduced. Compared with a traditional DBS imaging technology, the airborne radar real-time Doppler beam sharpening super-resolution imaging method not only can effectively improve the imaging resolution, but also can reduce the iteration times, the convergence speed is improved, and the imaging resolution is ensured while the real-time capability ofimaging is met.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Closed-formed solution and iteration algorithm combination-based AOA positioning method
InactiveCN107703482AReduce computationAvoid errorsPosition fixationWireless communicationAlgorithmPositioning technology
The invention relates to wireless positioning technologies and specifically relates to a closed-formed solution and iteration algorithm combination-based AOA positioning method. According to the closed-formed solution and iteration algorithm combination-based AOA positioning method, a weighted least squares estimation method is adopted for acquire a closed-formed solution for estimating an objectposition based on an AOA basic positioning algorithm, the closed-formed solution is used as an initial value for an iterative algorithm in iterative operation, the object position is further preciselyestimated, and an iterative result is subjected to determining operation; if divergence is determined, the closed-formed solution is a final solution for object estimation; if non-divergence is determined, the iterative result is the final solution. Via the method, good positioning precision can be obtained.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA +1
Method and device for single point positioning based on weighted least squares estimation step by step
ActiveCN109444930AReduce the impactHigh precisionSatellite radio beaconingHigh level techniquesElevation angleEstimation methods
The invention provides a method and device for single point positioning based on weighted least squares estimation step by step. Through an elevation angle and an azimuth angle of each satellite, a weight matrix of each satellite in the E, N, and U directions in a center coordinate system in the current epoch is determined, the position of a receiver is estimated step by step through the least squares estimation method according to the weight matrix, coordinate transformation is performed according to the position to obtain the single point positioning result of the receiver, influence of a pseudorange error on single point positioning can be effectively reduced, accuracy of single point positioning is improved, as the position of the receiver is solved epoch by epoch, the method is not only applicable to static users, but also to dynamic users, and has the wide application range and strong real-time performance.
Owner:MINJIANG UNIV +1
High-precision positioning method and device in distributed MIMO radar systems
ActiveCN110596688AAccurate estimateImprove estimation accuracyRadio wave reradiation/reflectionWeighted least squares estimationNoise power
The invention provides a high-precision positioning method in distributed MIMO radar systems. The high-precision positioning method comprises the steps: a target positioning problem is converted intoa maximum likelihood estimation expression; the maximum likelihood estimation expression is converted into a convex function mode; an estimated value of a target position is obtained through a semi-definite relaxation method; and Taylor series expansion is conducted on a distance expression from a target to a transmitting antenna and a receiving antenna in a Taylor series expansion mode, and a weighted least square expression is constructed to correct the estimated value of the target position. The maximum likelihood expression related to the positioning problem is directly constructed to estimate the target position; a semi-definite programming method is introduced to accurately estimate the target position; the weighted least square estimation expression related to an error term is constructed through a Taylor series expansion method, and the estimation precision of the target position is further improved; and to sum up, the position of the target can be accurately estimated in the case of high noise power.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA
Multi-base-station target positioning method based on single-satellite radiation source
ActiveCN111239718AImprove estimation accuracySolve the problem of low accuracy in solving the target positionPosition fixationRadio wave reradiation/reflectionSingle starObservation data
The invention discloses a multi-base-station target positioning method based on a single-satellite radiation source. The multi-base-station target positioning method comprises the following steps: establishing a multi-base-station positioning model about a flight target by utilizing known observation data; linearizing a nonlinear flight target positioning equation set by introducing additional variables; utilizing least square estimation to obtain initial estimation of a target; and constructing a weighted least square estimation expression about an error term by using a Taylor series expansion method, so that the estimation precision of the target position is further improved. Therefore, a single-star radiation source can be used as an external radiation source to position the flight target based on multiple base stations.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Battery residual life prediction method considering recovery effect based on uncertain process
ActiveCN111523727AImprovements that did not accurately account for epistemic uncertaintyImproving Degradation Prediction AccuracyElectrical testingForecastingData modelingData mining
The invention provides a battery remaining life prediction method considering a recovery effect based on an uncertain process, and the method comprises the following steps: S1, an obtaining step: obtaining degradation data; S2, a step of establishing an uncertain process model, namely modeling degradation increment data by using a Liu process in an uncertain process; S3, a parameter initializationstep: performing estimation by using an uncertain least square method to obtain a parameter estimation value; S4, a parameter updating step: performing parameter updating by using a weighted least square estimation method; S5, a denoising step: based on the uncertain Liu process model and the updated parameters, denoising the degradation data; S6, a parameter re-estimation and re-updating step: re-estimating and re-updating the parameters by using the denoised degradation data; and S7, a prediction step: using uncertain simulation to obtain a prediction result of the residual life. Accordingto the method, the cognitive uncertainty of the residual life prediction model is improved, the recovery phenomenon in degradation is considered, and the degradation prediction accuracy is improved.
Owner:BEIHANG UNIV
Determining a geolocation solution of an emitter on earth based on weighted least-squares estimation
ActiveUS7663547B2Accurate estimateDirection finders using radio wavesPosition fixationGeolocationError function
Embodiments provide systems and methods for determining the geolocation of an emitter on earth based on weighted least-squares estimation based on two TDOA and two FDOA measurements, none of which need to be acquired at the same time. The four TDOA and FDOA measurements and the errors in each of the measurements are determined. Weights for the errors in the TDOA and FDOA measurements are determined, and the weights are applied in a weighted errors function. The weights account for the errors in the measurements and the errors in the satellite positions and velocities, and are dependent on the localization geometry. The weighted errors function is minimized to determine the location estimate of the unknown emitter.
Owner:GLOWLINK COMMUNICATIONS TECHNOLOGY INC
AUV intelligent motion observation method based on data driving
ActiveCN110908404AHigh speedSmall amount of calculationOpen water surveyAttitude controlMarine engineeringUnderwater
The invention discloses an AUV intelligent motion observation method based on data driving. Current observation ocean data acquired by an underwater autonomous submersible vehicle is represented by alinear combination of a group of primary functions; secondly, the marine data to be observed is processed by adopting a recursive weighted least square estimation method to obtain an observed marine data coefficient, an estimated value of the observed marine data at the latest moment is obtained by utilizing the observed marine data coefficient, and a gradient of the estimated value of the observed marine data is obtained; and finally, the underwater autonomous submersible vehicle reaches the position of the marine observation center in the gradient direction. According to the invention, underthe drive of new observation data, the AUV can quickly reach the central position of the marine characteristics with the optimal observation path, and help is provided for efficient application of the underwater autonomous mobile observation platform in marine science.
Owner:SECOND INST OF OCEANOGRAPHY MNR
Structural risk minimization based weighted least squares power system state estimation method
The invention discloses a structural risk minimization based weighted least squares power system state estimation method. According to the characteristic that the measurement number of power system state estimation is limited, a structural risk minimization based weighted least squares estimation model is provided through a statistical learning theory, so that the norm of a residue can be minimized, and meanwhile the confidence interval of a state variable can be minimized. Besides, a detailed solving process of the method is provided. The method accords with the structural risk minimization thought in the statistical learning theory, can obtain an estimation result more approximate to the true value of the state variable under limited measurement conditions, and has good engineering application prospects.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING) +1
A Impulse UWB Signal Detection Method Based on Compressive Sensing
InactiveCN103117819BReduce computing costImprove robustnessBaseband system detailsTransmission monitoringUltra-widebandSignal-to-noise ratio (imaging)
The invention discloses a pulse ultra wide band signal detection method based on compressed sensing. The pulse ultra wide band signal detection method based on compressed sensing includes the steps: utilizing random sampling in the compressed sensing theory to sample on received signals at a signal detection end, greatly reducing sampling rate which is needed by detection, and meanwhile arranging a stop condition which conducts part reconfiguration on the emitted pulse ultra wide band signals according to a specific parameter of a pulse ultra wide band emitter. The pulse ultra wide band signal detection method based on compressed sensing effectively reduces calculation cost of a detection method, utilizes a weighting least square estimation method to continuously reduce influence of an abnormal sample which corresponds to a position with a large residual value after the previous iteration, effectively improves rate of convergence of part reconfiguration process, guarantees orthogonality of the residual value and a chosen optimal vector, improves robustness of the detection method, obviously improves detection success rate under the condition of low signal-to-noise ratio, finally conducts detection judgment of signals by directly processing a part reconfiguration value through compressed sampling and simplifies achieving difficulty of the detection process.
Owner:NINGBO UNIV
GB-RAR high-speed rail bridge deformation information estimation model considering influence of colored noise
InactiveCN111307030AImprove accuracyElectrical/magnetic solid deformation measurementRadio wave reradiation/reflectionAlgorithmEngineering
The invention discloses a GB-RAR high-speed rail bridge deformation information estimation model considering influence of colored noise. The method includes the steps of obtaining phase values in twoground-based radar images corresponding to the first moment and the second moment, carrying out interference on the ground-based radar images, obtaining interferometric phases, removing an atmosphericphase component and the random noise phase, then obtaining radar sight direction deformation quantity, acquiring amplitudes of white noise and colored noise, and combining sedimentation rate, obtaining a sedimentation time sequence and a random model of a target object, carrying out noise reduction processing on the settlement time sequence by utilizing a wavelet analysis method, analyzing the sedimentation time sequence by adopting a maximum likelihood method, after logarithm taking processing is carried out on the obtained joint probability density expression, adjusting the spectral index of colored noise, after the obtained set likelihood value is processed through a weighted least square estimation method, obtaining a GB-RAR high-speed rail bridge deformation information estimation model, thus the accuracy of railway bridge monitoring and evaluation is improved.
Owner:GUILIN UNIVERSITY OF TECHNOLOGY
Power distribution network state estimation method based on improved generalized maximum likelihood estimation
PendingCN113850425AHigh precisionEffective strategyForecastingCharacter and pattern recognitionAlgorithmEstimation methods
According to a power distribution network state estimation method based on improved generalized maximum likelihood estimation, in consideration of the complexity that a basic weighted least square estimation method needs to increase a bad data identification program, the robustness of an estimation model is enhanced by adopting GM estimation. The improved GM estimation method is applied to state estimation by analyzing and improving a weight function used by a target function in GM estimation and using a self-adaptive mapping statistical value. The characteristic that a traditional measurement system and a phasor measurement system are different in technology in the aspects of measurement channels and instrument sampling rates is considered, and state estimation is carried out on two different estimation modules by fully utilizing phasor measurement data on the basis of a traditional state estimator. Fusion processing is performed on the obtained estimation results by utilizing a multi-sensor data fusion theory so as to obtain an optimal estimation value. Simulation analysis is carried out based on an improved IEEE 14-node power distribution network system, and the effectiveness and reliability of the improved GM estimation and estimation fusion system are verified. The method can effectively improve the estimation precision of the state distribution network.
Owner:CHINA THREE GORGES UNIV
RSSI (Received Signal Strength Indicator) ranging based WLS (WebLogic Server) node self-positioning method in wireless sensor network
ActiveCN102364983BNo prior statistical testing requiredHigh positioning accuracyNetwork topologiesRound complexityHardware complexity
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
Method for estimating measuring angle error in bearings-only passive positioning
ActiveCN109375160AImprove estimation accuracyPosition fixationErrors and residualsWeighted least squares estimation
The invention, which relates to the technical field of passive positioning, discloses a method for estimating a measuring angle error in bearings-only passive positioning. The method includes the following steps: step 1, performing first-order Taylor series expansion on a measurement equation to obtain a bearings-only positioning equation; and step 2, performing loop iteration on the positioning equation to obtain weighted least squares estimation of a target position and thus obtaining an azimuth estimation error. The positioning equation contains a measuring angle error term, so that the estimation accuracy of the measurement angle error can be effectively improved and the effect is obvious especially under the condition of having a large measurement angle error. The measurement angle error obtained by the method can be applied to a weighted or deviation compensation positioning algorithm, so that the positioning accuracy of the algorithm can be effectively improved.
Owner:PLA OF CHINA AIR FORCE EARLY WARNING ACADEMY LEIDA SERGEANT SCHOOL
A real-time Doppler beam sharpening super-resolution imaging method for airborne radar
ActiveCN109613532BSatisfy real-timeQuick estimateRadio wave reradiation/reflectionSpatial correlationComputation complexity
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
A Method of Locating Moving Objects under the Condition of Clock Deviation and Clock Drift
ActiveCN112986907BOvercome precisionReduce follow-upPosition fixationHigh level techniquesComputation complexityClock drift
Owner:ZHEJIANG WANLI UNIV
Parameter estimation method for electric power circuit in T-type connection
ActiveCN102508086BEffective estimateHigh precisionResistance/reactance/impedenceElectrical testingSCADAElectric power system
Owner:STATE GRID CORP OF CHINA +4
Two-stage linear weighted least-square power system state estimation method
ActiveCN102801162BEasy to identifyImprove identification efficiencyAc network circuit arrangementsVoltage amplitudeElectric power system
The invention provides a two-stage linear weighted least-square power system state estimation method which is characterized by comprising the following steps of: forming a network model, and calculating a node admittance matrix and a branch-node relationship matrix; transforming a measurement vector and a state vector; forming an accurate linear measurement equation; performing the first stage of linear weighted least-square estimation to obtain the estimated value of the transformed state vector; performing inverse transformation, and performing the second stage of linear weighted least-square estimation to obtain the estimated values of the voltage amplitudes and phase angles of all nodes; and identifying bad data. According to the two-stage linear weighted least-square power system state estimation method provided by the invention, more scientific state estimation result can be obtained, the calculation efficiency is higher, and the engineering application prospect is good.
Owner:TSINGHUA UNIV +1
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