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59results about How to "Reduce estimation bias" patented technology
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Network service anomaly detection method based on distributed probe monitoring
ActiveCN107483251AReduce estimation biasLarge sampling standard deviationData switching networksAnomaly detectionNetwork architecture
The invention discloses a network service anomaly detection method based on distributed probe monitoring. The method comprises the following steps: 1, a Bayesian network architecture is designed, and the Bayesian network architecture is used to estimate a flow matrix; and 2, the flow matrix is used for network anomaly detection. The first step comprises sub steps: the Bayesian network architecture is designed; the estimation value of the maximum posterior probability of a network parameter is calculated; the initial estimation value of the flow matrix is generated; and the flow matrix is estimated. The second step comprises sub steps: the Bayesian network performs learning through a group of network service flow training data; one flow matrix is generated randomly as a prediction factor for network agendas diagnosis; the network probes are deployed in a distributed mode to different network nodes; and the prediction factor is used for network anomaly detection. According to the network service anomaly detection method based on distributed probe monitoring, through the distributed probe monitoring mode, the network service flow anomalies in the network can be effectively detected and found out, and safe network service transmission can be realized.
Owner:LIAOYANG POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY +2
Monocular perception correction method and device based on sparse point cloud and storage medium
ActiveCN111583663AReduce complexityImprove accuracyImage enhancementImage analysisPoint cloudRemote sensing
The invention discloses a monocular perception correction method and device based on sparse point cloud, and a storage medium. The method comprises the steps of collecting the original camera data ofa monocular camera and the original sparse point cloud data of a radar sensor; processing the original camera data to obtain a three-dimensional detection result of a plurality of targets in an imageplane, the three-dimensional detection result comprising a target depth value and a two-dimensional bounding box; obtaining a conversion matrix; mapping the original sparse point cloud data to a corresponding position of an image plane based on the conversion matrix to obtain a point cloud projection depth map, setting a point cloud frame for each two-dimensional boundary frame in the point cloudprojection depth map, the point cloud projection depth map comprising a plurality of projection points corresponding to the original sparse point cloud data, and each projection point comprising a point cloud depth value; and correcting target depth values of a plurality of targets based on the point cloud depth values of the projection points contained in all the point cloud frames. The method isadvantaged in that by designing the point cloud frame characteristics, accuracy of correcting the target depth value is improved.
Owner:NINGBO GEELY AUTOMOBILE RES & DEV CO LTD +1
Piecewise constant independent component analysis-based method for estimating harmonic current of power distribution network
ActiveCN106208041AAvoid dependenceIncrease independenceAc network circuit arrangementsStreaming dataDistribution grid
The invention discloses a piecewise constant independent component analysis-based method for estimating a harmonic current of a power distribution network. The method comprises the steps of firstly building a piecewise constant model of harmonic current estimation, determining a harmonic current sequence by adopting a correlation coefficient matrix association method of overlapped sections, determining a harmonic current amplitude by utilizing an error minimization method of the overlapped sections, and lowering the need of prior harmonic current data; secondly giving a criterion of power network parameter change; and finally determining a data interval of the power network parameter change through a bisection method, and correcting a harmonic current estimation result during the power network parameter change to improve estimation precision during the power network parameter change. According to the method, harmonic current estimation errors during the power network parameter change can be reduced and the estimation process is free of power network parameter data; and the method is suitable for the harmonic current estimation under the condition that the parameters of the power distribution network are dynamically changed.
Owner:SOUTHWEST JIAOTONG UNIV
Parameter estimation and tracking control method based on turntable servo system
ActiveCN107102634ARealize position tracking controlReduce position tracking controlElectric testing/monitoringMathematical modelFiltering theory
The invention discloses a parameter estimation and tracking control method based on a turntable servo system, and belongs to the technical field of parameter identification and electromechanical control. The method comprises analyzing the turntable servo system containing unknown parameters, establishing a mathematical model of the turntable servo system containing unknown parameters according to a mechanism modeling method; updating an adaptive rate by a filtering theory, introducing a performance index function with a forgetting factor, and designing a variable-gain adaptive rate to achieve optimal adaptive parameter estimation by optimizing the performance index function; and achieving position tracking control by using the controller of a sliding-mode control design system using a super-twisting algorithm. The method can achieve the parameter estimation and tracking control of a system and has advantages of (1) reducing a system parameter estimation overshoot and accelerating the convergence of parameter estimation; (2) ensuring that a tracking error converges to zero within finite time; being not required to obtain the derivative information of a sliding-mode variable or not requiring a continuous control law of the sliding mode; eliminating chattering and improving the robustness of the controller.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
Underwater robot multi-sensor fusion data processing method
ActiveCN110231029ALess susceptible to failureAccurate estimateNavigational calculation instrumentsNavigation by speed/acceleration measurementsSignificant errorProcess noise
The invention discloses an underwater robot multi-sensor fusion data processing method. Attitude, position, and velocity information of an underwater robot is estimated based on a plurality of sensors; sensor measurement data with significant errors can be better eliminated by fusing all sensor measurement data, so that the underwater robot is not easily affected by single sensor failures, and theunderwater robot multi-sensor fusion data processing method is more suitable for nonlinear systems such as the underwater robot; and the angular deviation and velocity deviation are added to a statevector when constructing the state vector, and the influence of the angular deviation and the velocity deviation on state update is considered to accurately estimate the attitude, position and speed information of the underwater robot. The condition that the process noise is obtained from filtering results and observation results is assumed, and the differential evolution algorithm is used for performing optimization selection on the obtained process noise variance to improve the filtering accuracy. The underwater robot multi-sensor fusion data processing method is applicable to underwater robot type nonlinear systems to accurately estimate the attitude, position and speed information of the underwater robot.
Owner:XI AN JIAOTONG UNIV
Fundamental wave parameter measurement method based on sliding window spectrum separation
ActiveCN106501602AImprove anti-interference abilityImprove estimation accuracySpectral/fourier analysisFrequency spectrumWave parameter
The invention discloses a fundamental wave parameter measurement method based on sliding window spectrum separation. The method comprises the following steps: to begin with, establishing an electric signal model; then, deducing a spectrum separation method through short-time Fourier transform; for a plurality of frequency components obtained through spectrum peak separation, setting a real frequency component judgment condition; and finally, calculating and correcting fundamental wave parameters. The method can greatly reduce interference of the negative frequency component and the interharmonic component on fundamental wave, accurately extracts the fundamental wave component, and obtains good parameter measurement precision; analysis of a noise signal also shows that the algorithm has good noise immunity; and the method is suitable for power grid power frequency dynamic measurement.
Owner:SOUTHWEST JIAOTONG UNIV
Image processing method, image processing device and terminal equipment
ActiveCN108769634AReduce estimation biasSevere color castColor signal processing circuitsPicture signal generatorsImaging processingTerminal equipment
The invention provides an image processing method, an image processing device and terminal equipment. The method comprises the following steps of acquiring a plurality of images, and judging whether the images are shot in the same area or not; if the images are shot in the same area, determining an overlapped background region of the images; counting a color histogram of the overlapped backgroundregion; judging whether the overlapped background region is a preset pure-color background or not according to the color histogram; and if the overlapped background region is the preset pure-color background, selecting one image from the images, and carrying out white balance processing on the selected image according to the overlapping background region. According to the image processing method,the image processing device and the terminal equipment, a problem that the color cast of the processed image is too serious due to the traditional white balance algorithm when the image is provided with a large pure-color background is solved.
Owner:OPPO CHONGQING INTELLIGENT TECH CO LTD
Ship block construction process-level production scheduling method and system based on particle swarm-genetic hybrid algorithm
PendingCN119578737APracticalFully automaticData processing applicationsArtificial lifeCluster algorithmProcess design
The invention discloses a ship block construction process-level production scheduling method and system based on a particle swarm-genetic hybrid algorithm. The method comprises the following steps: constructing a standardized process-level process design data model; based on an operation plan decomposition rule, decomposing the segmented production task into a part-level operation production task matched with the process; establishing an optimization target model with the shortest delivery time, the least overdue tasks, the most balanced load and the like, and constraint rules such as lane and line separation and customization station rules, process route and process constraint rules, material and capacity constraint, priority and the like; optimizing the segmented production plan through a particle swarm-genetic hybrid algorithm until an optimization result meeting the requirement is obtained; and according to the feedback of the actual execution condition of the plan, the orders are classified based on a clustering algorithm, and the operation cycle parameters of different processes are dynamically compensated. The method has the advantages of being high in plan fineness, small in operation progress estimation deviation and the like, is high in calculation speed and low in algorithm complexity, fully considers support of process design data of a design end on algorithm implementation, and is very suitable for engineering application.
Owner:JIANGSU AUTOMATION RESEARCH INSTITUTE
Target extraction and aggregation method based on ground surveillance radar system
ActiveCN108983194AReduce false alarm rateImprove discovery rateWave based measurement systemsSecondary surveillance radarRadar systems
The invention discloses a target extraction and aggregation method based on a ground surveillance radar system. The method comprises a step of performing false dot filtering processing on target echoinformation, a step of blurring the filtered target echo information to form a two-dimensional image, a step of performing target edge extraction on the two-dimensional image, a step of performing ground object target filtering processing after the target edge extraction, a step of sequentially carrying out velocity aggregation and distance aggregation on target echo information belonging to the same target after the ground object target filtering processing, and a step of performing azimuth aggregation on the target echo information which is subjected to distance aggregation to obtain targetecho information and target parameters belonging to the same target after the azimuth aggregation. According to the invention, the risk that the same target is split into multiple targets when the target extraction is performed is reduced, the risk that targets of different speeds are merged into the same target when the targets are aggregated is reduced, the integrity and accuracy of the target extraction and the accuracy of the target aggregation are improved, and a reliable basis is provided for subsequent track processing.
Owner:ANHUI SUN CREATE ELECTRONICS
Control method of liquid-cooled battery thermal management system
ActiveCN119419417AImprove efficiencygood effectSecondary cellsBiological modelsElectrical batteryControl engineering
The invention relates to a control method of a liquid-cooled battery thermal management system, which predicts a lithium battery state environment under a given control action based on a multi-layer perceptron, and simulates interaction of a current state and an environment condition of a battery through deep reinforcement learning. And performing preliminary offline training on the reinforcement learning model, and then performing testing on an energy storage system test platform to obtain a dynamic algorithm model capable of predicting, regulating and controlling the future state of the lithium battery according to the current state of the lithium battery. And basic theory and key technical support are provided for application of deep learning and reinforcement learning in the field of lithium battery thermal management.
Owner:BEIJING NORMAL UNIV AT ZHUHAI
Signal processing method
InactiveCN101399586AReduce estimation biasReduce biasSpatial transmit diversityError prevention/detection by diversity receptionUltrasound attenuationComputer science
The invention discloses a signal processing method which comprises the following steps: the strengths of user signals with different arrival angles of a user are determined according to directional vectors of the user signals with different arrival angles of the user, a downlink forming vector corresponding to the user and directional gains of a receiving antenna at different arrival angles; and an azimuth estimation value of the user is determined according to the strengths of the user signals with different arrival angles. Another signal processing method comprises the following steps: the azimuth estimation value of the user is determined; the deviation of the azimuth estimation value of the user is estimated according to the difference between two user signal arrival angles corresponding to a given attenuation threshold; and the azimuth estimation value of the user is corrected by the estimated deviation. The two methods can reduce or even eliminate the deviation between the azimuth estimation value and the true value of the user.
Owner:TD TECH COMM TECH LTD
Sea clutter Pareto distribution parameter estimation method based on logarithm cumulant
ActiveCN107607913AReduce estimation biasImprove estimation accuracyWave based measurement systemsEstimation methodsCalculation methods
The present invention discloses a sea clutter Pareto distribution parameter estimation method based on a logarithm cumulant. According to the method, firstly a Pareto distribution probability densityexpression of sea clutter is obtained, then two calculation methods of logarithm statistic are used to estimate the Pareto distribution of the sea clutter observed in multiple times, and the estimation of Pareto distribution shape parameters and scale parameters of the sea clutter observed in multiple times is completed. The method concretely comprises the steps of (1) obtaining the Pareto distribution probability density expression of the sea clutter observed in multiple times, (2) calculating a reference value of the logarithm cumulant, (3) obtaining a sea clutter average value sequence, (4)calculating an estimated value of the logarithm cumulant, and (5) extracting parameter information. According to the method, a defect that the parameter estimation of sea clutter Pareto observed in asingle time cannot be carried out in the prior art is overcome, the applicable range of the parameter estimation is expanded, and the accuracy of the parameter estimation is improved.
Owner:XIDIAN UNIV
Neural network interlayer activation value quantification method and apparatus
InactiveCN108537322AReduce estimation biasBiological neural network modelsNerve networkQuantification methods
Owner:ENC DATA SERVICE CO LTD
Method for building path loss model in short-distance internet things environment
ActiveCN102752764AGood estimateReduce estimation biasNetwork planningInternet of ThingsModel parameters
The invention relates to a method for building a path loss model in a short-distance internet things environment, comprising the following steps of: building an original test data optimizing and acquiring scheme of a short-distance internet things environment path loss model; building the path loss model by a novel path loss model building scheme for evaluating short-distance internet things environment path loss characteristic; and evaluating a path loss model parameter by a novel path loss model parameter evaluating scheme for evaluating the short-distance internet things environment path loss characteristic. According to the method, the short-distance internet things environment path loss characteristic can be effectively evaluated, and the path loss evaluating deviation can be obviously reduced.
Owner:SHANGHAI INST OF MICROSYSTEM & INFORMATION TECH CHINESE ACAD OF SCI
Signal to noise ratio estimation method under frequency hopping communication interference condition
ActiveCN105262505AReduce estimation biasImprove estimation accuracyBaseband system detailsSignal-to-noise ratio (imaging)Estimation methods
The invention discloses a signal to noise ratio estimation method under a frequency hopping communication interference condition. The signal to noise ratio estimation method comprises the following steps: at first, carrying out matched filtering on a received signal by a matched filter under the frequency hopping communication interference condition, transmitting the received signal into an energy detector to detect the energy, predicting an interference hop, and demodulating the interference hop; respectively sending the demodulated signal to an LDPC iterative decoder and a signal to noise ratio estimator, iteratively decoding the demodulated signal by the LDPC iterative decoder, sending the iterative decoding information of the signal to the signal to noise ratio estimator, estimating a signal to noise ratio through an estimation algorithm in combination with the demodulated signal information, sending an estimated value to the LDPC iterative decoder to carry out next iterative decoding, repeating the process until reaching an iteration time, and finally, outputting the estimated value. The signal to noise ratio estimation method disclosed by the invention is used for solving the problem of signal to noise ratio estimation under the conditions of high estimation precision, wide signal to noise ratio estimation range, low signal to noise ratio and very small estimation error, and plays a positive role of improving the channel state estimation accuracy during slow frequency hopping communication self-adaptive transmission.
Owner:PLA UNIV OF SCI & TECH
Space occupation estimation method and device
ActiveCN108241365AReduce mistakesReduce estimation biasPosition/course control in two dimensionsPoint cloudEstimation methods
The embodiment of the invention provides a space occupation estimation method and device, which belong to the field of automatic driving. The method comprises steps: the filtering information of eachpoint in point cloud information detected by a sensor is calculated under a map coordinate system, wherein the position of the map coordinate system is fixed relatively to the sensor, and the attitudeinformation in the point cloud information detected by the sensor is consistent in the map coordinate system and a world coordinate system; and according to the filtering information of each point located in a space grid in the point cloud information, the space grid occupation possibility is calculated. According to the embodiment of the invention, the data under the map coordinate system relatively fixed with the sensor can be used to estimate the space occupation condition, introduced errors are reduced, the estimation accuracy is further improved, and the estimation deviation is reduced.
Stable graph structure learning method and device
PendingCN111476365AReduce estimation biasImprove performanceNeural architecturesNeural learning methodsAlgorithmTheoretical computer science
The invention discloses a stable graph structure learning method and device, and relates to the field of machine learning, and the method comprises the steps: obtaining a graph structure implied witha biased relation in each environment through a data-driven mapping method according to a plurality of given biased sampling environments; obtaining the probability that each point in the graph structure is associated with a symbiotic data sample according to the graph structure of each environment and a multi-environment data generation mechanism; initializing a target graph structure, randomly sampling a symbiotic data sample in a plurality of environments, setting conditions for the symbiotic data sample, respectively obtaining a generation probability in each biased environment and a generation probability under an implicit relationship of the target graph structure, and taking the generation probability of the target graph structure as a mean value of the generation probability of each environment; and carrying out loop iteration until a convergence condition is satisfied so as to obtain a stable graph structure. According to the method, estimation deviation of parameters in a graph structure is reduced, and stable performance is kept in a complex and changeable test environment.
Owner:TSINGHUA UNIV
Non-data auxiliary SNR estimation method for open loop and closed loop combined MPSK signals
ActiveCN103856421AReduce estimation biasAchieve fitTransmitter/receiver shaping networksClosed loopNon data aided
The invention discloses a non-data auxiliary SNR estimation method for open loop and closed loop combined MPSK signals. The method includes the first step of obtaining second-order envelope statistical information and first-order envelope statistical information through two received orthogonal signals, the second step of utilizing the square of the sum of the second-order statistical information of first-section data and the square of the sum of the first-order statistical information of the first-section data to calculate a statistical parameter value, the third step of estimating the SNR according to the one-one mapping relation between the statistical parameter value and the SNR, and the fourth step of carrying out smoothing filtering on the SNR estimated value through a closed-loop filter. The method has the advantages that any auxiliary data are not needed, carrier recovery does not need to be carried out, the SNR estimated value can be fast obtained, the estimation accuracy is high, the estimation deviation is small, the requirements of data quantization in the hardware implementation process are fully considered, and the complexity of hardware implementation is low. The non-data auxiliary SNR estimation method for the open loop and closed loop combined MPSK signals is applied to a communication system using an MPSK constant envelop modulation mode and other modes.
Owner:PLA UNIV OF SCI & TECH
Signal processing method
InactiveCN103780288AReduce estimation biasReduce biasSpatial transmit diversityError prevention/detection by diversity receptionUltrasound attenuationComputer science
The invention discloses a signal processing method which comprises the following steps: the strengths of user signals with different arrival angles of a user are determined according to directional vectors of the user signals with different arrival angles of the user, a downlink forming vector corresponding to the user and directional gains of a receiving antenna at different arrival angles; and an azimuth estimation value of the user is determined according to the strengths of the user signals with different arrival angles. Another signal processing method comprises the following steps: the azimuth estimation value of the user is determined; the deviation of the azimuth estimation value of the user is estimated according to the difference between two user signal arrival angles corresponding to a given attenuation threshold; and the azimuth estimation value of the user is corrected by using the estimated deviation. The two methods provided by the invention can reduce or even eliminate the deviation between the azimuth estimation value and the true value of the user.
Owner:TD TECH COMM TECH LTD
Signal processing method
InactiveCN101399586BReduce estimation biasReduce biasSpatial transmit diversityError prevention/detection by diversity receptionUltrasound attenuationComputer science
The invention discloses a signal processing method which comprises the following steps: the strengths of user signals with different arrival angles of a user are determined according to directional vectors of the user signals with different arrival angles of the user, a downlink forming vector corresponding to the user and directional gains of a receiving antenna at different arrival angles; and an azimuth estimation value of the user is determined according to the strengths of the user signals with different arrival angles. Another signal processing method comprises the following steps: the azimuth estimation value of the user is determined; the deviation of the azimuth estimation value of the user is estimated according to the difference between two user signal arrival angles corresponding to a given attenuation threshold; and the azimuth estimation value of the user is corrected by the estimated deviation. The two methods can reduce or even eliminate the deviation between the azimuth estimation value and the true value of the user.
Owner:TD TECH COMM TECH LTD
Battery energy state estimation method and device, electronic equipment and storage medium
PendingCN121955744AHigh precisionImprove reliabilityElectrical testingElectrical batteryInternal resistance
The invention relates to the technical field of electrochemical energy storage safety, and discloses a battery energy state estimation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an open-circuit voltage-state-of-charge curve of a battery; calculating an integral value of the open-circuit voltage-state-of-charge curve in a full-state-of-charge range; and estimating the real-time charge state of the battery at any moment, and calculating the energy state of the battery based on the integral value and the real-time charge state. According to the method, the open-circuit voltage-state-of-charge curve of the battery is obtained, the integral value of the curve in the full-state-of-charge range is calculated, and the energy state is calculated based on the integral value after the instant state-of-charge is estimated, so that the influence of internal resistance polarization on energy state estimation is effectively eliminated, and the precision and reliability of SOE estimation are remarkably improved; the problem of large error caused by internal resistance polarization is solved.
Owner:HUADIAN ELECTRIC POWER SCI INST CO LTD +1
Signal phase difference estimation device and method in antenna aligning array based on circulating cross-correlation
ActiveCN101969329BHigh Phase Difference Estimation AccuracyHigh estimated varianceSpatial transmit diversityBaseband system detailsTime delaysPhase difference
Owner:NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
Estimation method of arbitrary array weak signal source angle under strong interference
InactiveCN102830386BAccurate estimateReduce estimation biasRadio wave finder detailsRadio wave direction/deviation determination systemsSignal-to-noise ratio (imaging)Estimation methods
The invention discloses an estimation method of an arbitrary array weak signal source angle under strong interference, i.e., a modified projection blocking method, which is used for researching estimation of the weak signal angle under strong interference. The method does not need to accurately know an interference angle, has no array limit, is suitable for an arbitrary array, and has good estimation performance under the condition with array errors. Compared with the interference blocking method, the method saves the problem that different arrays need to construct different blocking matrixes, and does not lose the degree of freedom during blocking interference. Compared with the traditional noise subspace expansion method, the method has higher angle-measuring accuracy under the condition of a low signal to noise ratio.
Owner:XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
Service prediction method and device
ActiveCN112200392AReduce cost wasteBalanced demandForecastingCharacter and pattern recognitionService informationBusiness forecasting
The embodiment of the invention provides a service prediction method and device, which considers the data characteristics of part of service samples that are rejected in service verification while considering the service samples passing the service verification, truly restores the service scene, reduces the cost waste of rejected samples, particularly, reasonably balances the requirements of the modeling sample and the rejection sample under the condition that the sample size of samples passing the service verification is insufficient, , so that when the service prediction model obtained by training predicts the received service information to be predicted, the future behavior of the rejected service object can be predicted, and the parameter estimation deviation is reduced.
Owner:SHANGHAI ICEKREDIT INC
Monocular perception correction method, device and storage medium based on sparse point cloud
ActiveCN111583663BReduce complexityImprove accuracyImage enhancementImage analysisPoint cloudRemote sensing
The invention discloses a monocular perception correction method, device and storage medium based on sparse point cloud. The method includes: collecting original camera data of a monocular camera and original sparse point cloud data of a radar sensor; processing the original camera data , obtain the 3D detection results of multiple targets in the image plane, the 3D detection results include the target depth value and the 2D bounding box; obtain the transformation matrix; based on the transformation matrix, map the original sparse point cloud data to the corresponding position of the image plane, and obtain Point cloud projection depth map, set a point cloud frame for each two-dimensional bounding box in the point cloud projection depth map, the point cloud projection depth map includes multiple projection points corresponding to the original sparse point cloud data, each projection point Including point cloud depth values; based on the point cloud depth values of the projected points contained in all point cloud frames, the target depth values of multiple targets are corrected. The invention improves the accuracy of correcting the target depth value by designing the point cloud frame characteristics.
Owner:NINGBO GEELY AUTOMOBILE RES & DEV CO LTD +1
A Measurement Method of Fundamental Wave Parameters Based on Sliding Window Spectrum Separation
ActiveCN106501602BImprove anti-interference abilityImprove estimation accuracySpectral/fourier analysisFrequency spectrumWave parameter
The invention discloses a method for measuring fundamental wave parameters based on sliding window spectrum separation. Firstly, a power signal model is established, and then a spectrum separation method is deduced through short-time Fourier transform. Aiming at multiple frequency components separated by spectrum peaks, a method is designed. Determine the real frequency components to determine the conditions, and finally calculate and modify the fundamental parameters. The method of the invention can greatly reduce the interference of negative frequency components and interharmonic components to the fundamental wave, accurately extract the fundamental wave components, and obtain good parameter measurement accuracy; the analysis of noise-containing signals also shows that the algorithm has good noise resistance , suitable for power frequency dynamic measurement of power grid.
Owner:SOUTHWEST JIAOTONG UNIV
Non-data-assisted signal-to-noise ratio estimation method for mpsk signal based on combination of open and closed loops
ActiveCN103856421BReduce estimation biasAchieve fitTransmitter/receiver shaping networksSignal-to-noise ratio (imaging)Communications system
Owner:PLA UNIV OF SCI & TECH
Transformer adaptive fault diagnosis method and system based on AmRMR
PendingCN121980414Areduce dependenceImprove stabilityTesting dielectric strengthTransformers testingOutput transformerFeature set
The invention relates to the technical field of intelligent operation and maintenance of power equipment, and discloses an AmRMR-based transformer adaptive fault diagnosis method and system, and the method comprises the steps: obtaining the detection data of dissolved gas in transformer oil, and constructing a candidate ratio feature set; respectively carrying out standardization processing on the key gas concentration characteristics and the candidate ratio characteristic set; performing discretization operation on the standardized candidate ratio feature set; performing redundancy compression and information contribution evaluation on the discretized candidate ratio features based on an AmRMR algorithm, and outputting a key ratio feature set; and inputting the key gas concentration characteristics and the key ratio characteristic set into a pre-constructed DSD-DQN fault diagnosis model, and outputting a transformer fault diagnosis result. According to the invention, the highest engineering risk that the fault is misjudged to be normal can be effectively avoided, the recognition capability of minority samples such as serious faults is remarkably improved, and transformer fault diagnosis considering engineering safety and diagnosis accuracy is realized.
Owner:HOHAI UNIV
A Joint Estimation Method for Wireless Communication Delay and Frequency Offset Based on Hill Climbing Fine Search
This application relates to a joint estimation method for wireless communication delay and frequency offset based on hill-climbing fine search. The method includes: setting a time offset search range, a frequency offset search range, a coarse search step size, and a fine search step size based on prior information; generating a two-dimensional grid point set within the search range according to the coarse search step size; calculating the cost value of each grid point based on a cost function; taking the time offset and frequency offset corresponding to the maximum value as the coarse estimate; using the coarse estimate as the initial point, performing fine search iterations using hill-climbing; calculating the cost value of multiple candidate points in the neighborhood in each iteration, comparing and determining the update direction, and updating the current time offset and / or frequency offset; repeating the iteration until a preset exit condition is met, and outputting the final estimate. This application effectively solves the parameter coupling problem of traditional step-by-step estimation in NTN scenarios, while balancing search range and computational complexity, facilitating engineering implementation, and being applicable to various NTN systems and terminal forms.
Owner:HUNAN SIBEITU TECH CO LTD
A Target Extraction and Cohesion Method Based on Ground Surveillance Radar System
ActiveCN108983194BReduce false alarm rateImprove discovery rateWave based measurement systemsPattern recognitionRadar systems
The invention discloses a target extraction and aggregation method based on a ground surveillance radar system. The method comprises a step of performing false dot filtering processing on target echoinformation, a step of blurring the filtered target echo information to form a two-dimensional image, a step of performing target edge extraction on the two-dimensional image, a step of performing ground object target filtering processing after the target edge extraction, a step of sequentially carrying out velocity aggregation and distance aggregation on target echo information belonging to the same target after the ground object target filtering processing, and a step of performing azimuth aggregation on the target echo information which is subjected to distance aggregation to obtain targetecho information and target parameters belonging to the same target after the azimuth aggregation. According to the invention, the risk that the same target is split into multiple targets when the target extraction is performed is reduced, the risk that targets of different speeds are merged into the same target when the targets are aggregated is reduced, the integrity and accuracy of the target extraction and the accuracy of the target aggregation are improved, and a reliable basis is provided for subsequent track processing.
Owner:ANHUI SUN CREATE ELECTRONICS