42 results about "Weighted least squares estimation" patented technology

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.

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.

The invention provides an airborne radar real-time Doppler beam sharpening super-resolution imaging method, which belongs to the field of radar detection and imaging. The present invention adopts the fast iterative weighted least squares estimation to realize Doppler beam sharpening (DBS) super-resolution imaging for the echo signal of the current adjacent coherent processing interval (CPI) by means of scanning-while-acquiring-while-processing , and then use the spatial correlation of adjacent CPI azimuth echoes to recursively update the next CPI weighted least squares estimation result, thereby improving the convergence speed and greatly reducing the computational complexity. Compared with the traditional DBS imaging technology, the present invention can not only effectively improve the imaging resolution, but also can reduce the number of iterations, improve the convergence speed, and satisfy the real-time imaging performance while ensuring the imaging resolution.

The invention discloses a moving target positioning method under the condition of clock deviation and clock drift, which constructs a weighted least squares WLS problem including four unknown quantities of the source node's position and speed, clock deviation and clock drift, and then adopts positive semi-definite The relaxation method transforms the non-convex weighted least squares WLS problem into a convex positive semi-definite programming problem, and then uses the interior point method to solve the convex semi-positive definite programming problem to obtain the global optimal solution; In the case of simultaneous existence and unknown, from the perspective of weighted least squares estimation model estimation theory and convex optimization theory, while realizing the position and velocity estimation of the source node, the joint estimation of clock bias and clock drift is realized, and the positioning accuracy High, low computational complexity, suitable for complex deployment environments.

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, quick calculation speed, high estimation precision, good stability of data, high engineering practicality, convenience in popularization and application, and the like. In addition, the parameter estimation method 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.

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.