882 results about "Accurate estimation" patented technology

A method of discriminating noise and voice energy in a communication signal. A signal is measured in a plurality of block periods, which are sampled to obtain a measurement of the block energy value for the signal. The blocks are compared to a noise threshold and to a voice threshold to discriminate between noise and voice. The thresholds for noise and voice are periodically updated based on the minimum and maximum energy levels measured for block energies. In a preferred embodiment, the voice energy threshold and noise energy threshold values are updated according to a formula where the revised thresholds are based upon a factor of the minimum and maximum energy levels of the current block and the most recent past block and the average energy of the previous blocks. Updating of threshold levels allows for more accurate estimation of noise and voice during changes in either noise, voice or both to avoid missclassification of noise and / or voice.

Disclosed are assessment tools and related methods for analyzing potential transformations to a business' IT capabilities. In particular, a tool for scoping the potential opportunity incorporating a top-down approach and using previous credentials to make accurate estimations is disclosed. Additionally, a shaping tool employs a bottom-up approach to the assessment based upon more highly-detailed information of the structure of the IT department. Each tool also automatically calculates typical indices for evaluation of the business case of the IT transformation. Optionally, the tools are integrated, and also can automatically generate a business case presentation or a detailed analysis of all data involved in the assessment.

The invention provides an unscented Kalman filter-based method for tracking an inertial pose according to acceleration compensation, which is used for an inertial measurement unit integrating a three-axis micro-gyroscope, a three-axis micro-accelerometer and a three-axis magnetoresistive sensor, and realizes pose tracking estimation on a device carrier by using rotary angular velocity vectors, acceleration vectors and magnetic field sensor vectors which are detected by the device by means of filter technology. The method comprises the following steps: 1) treating the acceleration vectors as combination of the acceleration vectors and gravity acceleration vectors of the device carrier self, and constructing observation equations respectively for amplitude and normalized direction vectors of the acceleration vectors and the gravity acceleration vectors; 2) describing quaternion, accumulated error vectors of the gyroscope and the acceleration vectors of the device carrier self by using the pose to construct a system state vector; and 3) realizing a filter estimating process of the system by using the unscented Kalman filter technology because of nonlinearity of the observation equations. Compared with the conventional method ignoring the acceleration of the carrier self, the method not only can provide a more accurate estimation result, but also widens the application range of the system.

Disclosed is a cell balancing apparatus and method using a voltage variation pattern of a battery cell, which measures voltage of each cell, estimates OCV or SOC of each cell using a voltage variation pattern of each cell including a present voltage and a past voltage, and eliminates a deviation in OCV or SOC between the cells through comparison of the estimated OCV or SOC of each cell. In estimating the OCV of each cell, an output voltage error due to IR drop is corrected. Thus, SOC of each cell may be accurately estimated. And, an accurate estimation of SOC may render substantial elimination for a SOC deviation of each cell. Furthermore, SOC estimating using an output voltage leads to an active cell balancing even during charge and discharge of battery, thereby minimizing an SOC deviation of each cell.

The disclosed terrain model is a generative, probabilistic approach to modeling terrain that exploits the 3D spatial structure inherent in outdoor domains and an array of noisy but abundant sensor data to simultaneously estimate ground height, vegetation height and classify obstacles and other areas of interest, even in dense non-penetrable vegetation. Joint inference of ground height, class height and class identity over the whole model results in more accurate estimation of each quantity. Vertical spatial constraints are imposed on voxels within a column via a hidden semi-Markov model. Horizontal spatial constraints are enforced on neighboring columns of voxels via two interacting Markov random fields and a latent variable. Because of the rules governing abstracts, this abstract should not be used to construe the claims.

Methods and systems for improving auction-based online commerce are provided, including methods and systems for facilitating advance, rapid, accurate estimation of shipping costs between a seller and the winner of an online auction. Methods and systems include an application for facilitating seller estimation of shipping costs, including various components of shipping costs, and for providing to the buyer a shipping estimate based on the circumstances of the buyer and the auction.

The present disclosure provides dynamic performance monitoring systems and methods for optical networks to ascertain optical network health in a flexible and accurate manner. The present invention introduces accurate estimations for optical channel performance characteristics based either on existing channels or with a dynamic optical probe configured to measure characteristics on unequipped wavelengths. Advantageously, the dynamic performance monitoring systems and methods introduce the ability to determine physical layer viability in addition to logical layer viability.

The present disclosure provides dynamic performance monitoring systems and methods for optical networks to ascertain optical network health in a flexible and accurate manner. The present invention introduces accurate estimations for optical channel performance characteristics based either on existing channels or with a dynamic optical probe configured to measure characteristics on unequipped wavelengths. Advantageously, the dynamic performance monitoring systems and methods introduce the ability to determine physical layer viability in addition to logical layer viability.

A portable telephone allowing easy and accurate estimation of its moving speed at the moment when an incoming call is received is disclosed. A moving status detector is provided which detects a moving status of the portable telephone based on measured reception signal strengths, each of which is measured on a sequentially selected one of N neighboring radio channels that are previously designated by the base station at a timing other than a communication timing of the designated radio channel in response to receipt of a call setup signal for an incoming call from the base station using the designated radio channel.

A spread-spectrum preamble synchronization peak detection system performs multiple statistical tests based on instant and time-averaged channel condition measurements to identify the synchronization peak. In a normalized peak-to-average test, a peak-to-average ratio measurement is normalized by a signal-to-noise ratio measurement to form a new statistical measure which effectively eliminates the impact of the wide dynamic range of the signal-to-noise ratio of the received samples. A transition SNR test is used to eliminate potential false alarms caused by spurious PARN peaks during the transition period at the onset of preamble arrival. Code-phase aligned time-averaging is used to estimate the signal and noise levels over a sliding window. The code-phase alignment of samples effectively separates signal and noise samples in the averaging process, and resulting in more accurate signal and noise measurements. In estimating noise levels, the system takes multi-path interference into account by excluding both the peak signal and the side-lobe signals caused by multi-path wireless channels, resulting in more accurate estimation of noise level.

A system for providing an accurate interference value signal received over a channel and transmitted by an external transceiver. The system includes a first receiver section for receiving the signal, which has a desired signal component and an interference component. A signal extracting circuit extracts an estimate of the desired signal component from the received signal. A noise estimation circuit provides the accurate interference value based on the estimate of the desired signal component and the received signal. A look-up table transforms the accurate noise and / or interference value to a normalization factor. A carrier signal-to interference ratio circuit employs the normalization factor and the received signal to compute an accurate carrier signal-to-interference ratio estimate. Path-combining circuitry generates optimal path-combining weights based on the received signal and the normalization factor. In the illustrative embodiment, the system further includes a circuit for employing the accurate interference value to compute a carrier signal-to-interference ratio. An optimal path-combining circuit computes optimal path-combining weights for multiple signal paths comprising the signal using the accurate interference value and provides optimally combined signal paths in response thereto. A log-likelihood ratio circuit computes a log-likelihood value based on the carrier signal-to-interference ratio and the optimally combined signal paths. A decoder decodes the received signal using the log-likelihood value. An additional circuit generates a rate and / or power control message and transmits the rate and / or power control message to the external transceiver.

An apparatus and method are provided for analyzing information relating to the physiological and psychological conditions of a driver. Psychological conditions such as comfortableness or degree of alertness are estimated on the basis of physical data such as fluctuation in brain waves. This apparatus comprises a first neural network having a pre-processed 1 / f fluctuation signal for brain waves as an input and for estimating a degree of alertness of the driver, and a second neural network receiving the estimated degree of alertness and the pre-processed 1 / f fluctuation signal, for estimating and outputting driving comfortableness. By employing a neural network, which has a mapping ability as well as flexible adaptability even for non-linear data, based on the learning function, more accurate estimation of mental conditions can be achieved in comparison with conventional statistical analysis.

The invention discloses an integrated navigation system applied to a pilotless aircraft, which adopts a sensor comprising an inertial sensor, a radio altimeter, a communication module, a camera and the like, wherein the inertial sensor is used for acquiring motion acceleration and angular velocity of a carrier, and providing the motion acceleration and the angular velocity for an inertial navigation system and a vision navigation system in the unknown environment for setting up a system equation, thus further providing the current location information and matched trigger signals for scene matching navigation. The method integrates four combination ways which are inertial navigation, cellular wireless location navigation, vision navigation in the unknown environment and the scene matching navigation, and the four combination ways form each subsystem of the integrated navigation system and can be independently used for estimating the state of the aircraft; then, fault diagnosis and fusion estimation are carried out on the data output by the subsystems by a main filter, so that the accurate estimation of the state of the aircraft is obtained.

The invention discloses a method for carrying out the three-dimensional human face modeling by a single human face photo to obtain a realistic human face, and the method belongs to the field of graphics and images. The method utilizes a priori knowledge of a human face structure to estimate the depths of two-dimensional feature points on the photo, thereby obtaining similar three-dimensional coordinates; the similar three-dimensional feature points are taken as control points, and the dirichlet free deformation algorithm is adopted to realize the fitting of the neutral human face to the specific human face. Then, a method which is based on the regional expansion is adopted to realize the texture synthesis and the mapping, and the region which is not covered is repaired by adopting the interpolation or the block filling method. The method has simple calculation, high modeling accuracy and can rapidly utilize a small number of feature points to realize the three-dimensional modeling of the human face on the single photo, and the generated three-dimensional human face model has very strong realistic feeling under various postures due to the accurate estimation of the depths of the feature points. The method can also be used for the three-dimensional reconstruction of other objects.

The invention discloses an intelligent vehicle positioning method based on multi-sensor information fusion. The drifting phenomenon produced by the fact that GPS positioning is merely depended can be effectively avoided, and accordingly the vehicle positioning precision is improved. The position of a vehicle in a local map by processing radar data and encoder data and adopting a synchronous positioning and map establishing method (SLAM), the position of the vehicle in a longitude and latitude system is obtained through GPS positioning, the positions are unified to a geodetic coordinate system through coordinate transformation, and fusion processing is conducted on the position information by using a Kalman filter to obtain accurate estimation of the vehicle position. Accurate global vehicle location is achieved based on a vehicle-mounted encoder, laser radar and GPS.

Methods and systems for improving auction-based online commerce are provided, including methods and systems for facilitating advance, rapid, accurate estimation of shipping costs between a seller and the winner of an online auction. Methods and systems include an application for facilitating seller estimation of shipping costs, including various components of shipping costs, and for providing to the buyer a shipping estimate based on the circumstances of the buyer and the auction.

A lithium battery state of charge (SOC) estimation method is used for lithium battery energy storage equipment with a micro controller and a storer and used for correction of practical capacity of a lithium battery. The method comprises the following steps: utilizing an electromotive force method to establish a battery circuit model; determining the functional relationship between the electromotive force and the SOC; calculating the current SOC number value according to the obtained relationship between current and voltage; accurately calculating the original value SOC0 of the SOC according to the relationship between current and voltage; calculating the current SOC value by using a current integration in a real time manner; correcting the estimation values obtained through the electromotive force method and the current integral mensuration by using an expanded Kalman model; realizing real-time on-line accurate estimation for battery packs by using expanded Kalman filtering circular iterative computations.

The invention discloses a method for estimating lithium ion battery remaining available capacity. The method comprises the steps of acquiring standard temperature, a standard discharging current and battery internal resistance from a battery instruction book, acquiring battery nominal capacity based on battery bench testing data, drawing a temperature-current-SOC three-dimensional surface, estimating the remaining available capacity of a battery under a battery future current according to the current battery temperature, the current battery SOC, the battery standard nominal capacity, the battery internal resistance, the battery future current and the temperature-current-SOC three-dimensional surface, and calculating the battery remaining battery capacity according to the remaining available capacity, a battery current end voltage, the battery internal resistance and the battery future current. According to the method for estimating the lithium ion battery remaining available capacity, influences on the lithium ion battery remaining available capacity by the battery discharging current, the battery temperature and the battery internal resistance are taken into solid consideration, an accurate estimation value of the lithium ion battery remaining available capacity can be offered, and the estimation value of the lithium ion battery remaining available capacity is further used for estimation of remaining mileage of an electric automobile and automobile overall energy management.

An invention that utilizes signals from an accelerometer in resonant frequency bands or high frequency bands to, in a cost-effective manner, measure wear particle penetration of lubricant and lubricant degradation, both of which greatly affect prediction of residual service life; and, using as a basis these measurements of wear particle penetration and lubricant degradation, enables accurate estimation of residual service life for rolling bearings in the early stages. The invention is comprised of a means of obtaining fundamental data that uses a testing device to obtain data regarding the relationship, for rolling bearings (3), of wear particle penetration levels to vibration levels and service life, or to obtain data regarding the relationship, for rolling bearings (3), of lubricant degradation levels to vibration levels and service life; a means of measurement, where an accelerometer (4) is used to obtain vibration signals of diagnostic rolling bearings (3) residing on mechanical rotating devices (1, 2) for the purpose of measuring signals in resonant frequency bands only detectable at extremely high levels of sensitivity or signals in high frequency bands; and a means of prediction that uses readings obtained via said means of measurement and data obtained via said means of obtaining fundamental data to predict, for diagnostic rolling bearings (3), wear particle penetration levels and lubricant degradation levels, and to calculate residual service life for diagnostic rolling bearings (3).

A new digital architecture for metallic pipe and cable locators, providing accurate estimation of the fundamental locate parameters, electromagnetic signal strength and signal direction, and utilizing a nested Digital Phase-Locked Loop (DPLL) structure is disclosed. The obstacles to signal direction measurement in low SINR environments using the signal select method are overcome and a more precise phase comparison between the carrier and the FM modulation signals is obtained. The architecture further significantly reduces analog front-end hardware requirements, offers wider resistance to component tolerances, lower calibration and test time, and provides flexible frequency selectivity. Locators according to the present invention provide accurate estimation of the fundamental physical parameters of line location (electromagnetic signal strength and signal direction) in extremely noisy environments, using Digital Signal Processing (DSP) methods.

The embodiment of the invention discloses a control method and device of disaster response unmanned aerial vehicle base stations. The method comprises the following steps: performing rough estimation on the terrain and ground to air channel characteristics of a disaster area, calculating the initial number of unmanned aerial vehicle base stations, and initial positions and initial heights of the unmanned aerial vehicle base stations; deploying the unmanned aerial vehicle base stations according to the initial positions and the initial heights of the unmanned aerial vehicle base stations, and providing network access services for users within the coverage by the unmanned aerial vehicle base stations; periodically measuring, recoding and uploading channel quality information of the users within the coverage of the unmanned aerial vehicle base stations with the unmanned aerial vehicle base stations by the unmanned aerial vehicle base stations; and performing accurate estimation on the terrain and the ground to air channel characteristics of the disaster area by the analysis of the channel quality information, and periodically adjusting the deployment positions and heights of the unmanned aerial vehicle base stations according to the accurate estimation results. By adoption of the control method and device disclosed by the invention, the network communication rate of disaster response communication assisted by the unmanned aerial vehicle base stations can be improved.

The invention discloses a lithium ion battery management system and a control method thereof, and comprises battery charge and discharge management scheduling, battery information communication and battery life assessment. Adding a battery cell in series or withdrawing the battery cell in a controlled manner is realized by utilizing a switch circuit. Data transmission between series battery cells is realized by utilizing hardware and software forwarding circuits. In a rated charge and discharge condition, through carrying out charge and discharge tests on a lithium ion battery repeatedly, recording charge and discharge times, and voltage curve and battery internal resistance of each charge and discharge operation, constructing a four-dimensional data table, and determining equivalent cycle times and present full charge capacity of the battery by utilizing an interpolation method, an equivalent cycle life of a battery pack is determined. According to the invention, energy transduction devices like an inductance capacitor are not needed, characteristics of batteries in a same battery pack tend to be consistent, a service life of the battery pack is prolonged, overpressure resistant requirements of each component are mitigated, a basic basis of estimating battery full charge capacity and accurate estimation of a battery life is established, and possibility of large scale interchangeability application is provided.

The invention discloses a prediction method for the q-precentile life of an intelligent meter and relates to the technical field of reliability estimation of accelerated degradation data. The method comprises the following steps: performing degradation path modeling according to test data, and obtaining the pseudo life estimation of the intelligent meter under all stress levels according to the failure threshold value of given parameters; building a Weibull distribution-based accelerated degradation model of three parameters, such as temperature, humidity and electrical stress according to the pseudo life estimation results of the intelligent meter under all stress levels of an accelerated degradation test, so as to obtain the point estimation and covariance estimation of the acceleration model; and obtaining the lower estimation of parameter service life of the intelligent meter under a given reliability degree and a given confidence degree in normal use conditions according to the point and covariance matrix of the parameters of the accelerated degradation model. Due to the adoption of the method, the test time is effectively shortened, the test expense is reduced, and the quick and accurate estimation of a stable period of an accelerometer is realized.

The invention discloses a power control method of uplink signals, network side equipment and user equipment. The power control method comprises: the network side equipment sets reference signal power as specific parameters of the user equipment and configures the reference signal power for the user equipment. In the invention, high-layer configuration parameters (reference signal power) are set as UE-specific parameters or power offset parameter configured by high-layer signaling is added, or combined use is adopted, so that the accurate estimation on the uplink path loss is realized to ensure the reasonable uplink transmitting power of the UE and simultaneously reduce the interference of adjacent users in other cells. According to the invention, the path loss obtained by calculation is not the downlink path loss obtained by direct measurement, but the estimated value closer to the practical uplink path loss, and the practical path loss of an uplink channel can be more accurately reflected.

The invention discloses a determined method for an initial gesture on the basis of Doppler optical fiber gyro strapdown inertial navigation system, which comprises continuously collecting data which is output by an optical fiber gyro and a quartz flexible accelerometer after being preheated, processing the data of the gyroscope and the accelerometer which are collected, finishing a rough alignment of the strapdown inertial navigation system, entering into an extractive alignment after the rough alignment is finished, establishing a dynamic base error equation of a marine strapdown inertial navigation system, employing an optimal control filtering theory to design an electric filter, and doing a filtering estimation, extracting information of ship hull gesture misalignment angle to correct the ship hull gesture when a combined extractive alignment is finished, finishing extractive initial alignment, simultaneously obtaining shift estimated value of the gyroscope, and realizing a drift course of the initial alignment. The method of the invention can realize accurate estimation to a zero drift of the optical fiber gyro when the requirement of accuracy and rapidity is guaranteed.

The invention relates to a rapid positioning method of a binary TDOA / FDOA satellite-to-earth integration positioning system. According to the invention, problems that exist during accurate estimation of a TDOA / FDOA and rapid positioning in a binary positioning system can be solved. The method comprises the following steps that: a binary TDOA / FDOA positioning model is constructed; and a real-time combination estimation is carried out on a TDOA and an FDOA through a fourth order cumulant two dimensional separation parameter estimation method; object location is carried out through an IMM-UKF filtering method; and then, a relationship between a positioning precision and a signal to noise ratio of a receiving signal is analyzed; at last, a situation of an influence of all factors on a positioning error is analyzed. According to the invention, a complete and trusted assessment can be carried out on a positioning system; there is no requirement on a type of a signal that is emitted by a ground radiation source and thus the rapid positioning method has a strong adaptability and a wide application range; moreover, the method has good anti-noise and anti-interference capabilities; and a positioning convergence rate is high and a high positioning precision can be reached. Therefore, the invention has a high practical application value.

The invention discloses a channel estimation method for intelligent reflection surface wireless communication. The method comprises the following steps: an intelligent surface end receives a pilot signal sent by a user end for processing, and transmits the pilot signal to a base station through reflection of the intelligent surface end; at the intelligent surface end and the base station, channelestimation is carried out according to the received pilot signal to obtain a first channel estimation matrix, and an enhanced deep residual network is constructed to carry out training by taking the first channel estimation matrix as the input of the enhanced deep residual error network and taking the second channel estimation matrix as the output so as to obtain the accurate estimation of the channel. Under the condition that the number of receiving sensors of the intelligent reflecting surface is reduced, channel estimation at the base station and the intelligent surface end is assisted on the basis of the pilot signals received from the user, the accuracy of channel estimation is improved, and the calculation complexity is reduced.