De-correlated unbiased sequential filtering based on best unbiased linear estimation for target tracking in Doppler radar

PENG Han; CHENG Ting; LI Xi

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De-correlated unbiased sequential filtering based on best unbiased linear estimation for target tracking in Doppler radar

机译：基于多普勒雷达的目标跟踪的最佳非偏见线性估计去相关的非偏见顺序滤波

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摘要

In target tracking applications,the Doppler measurement contains information of the target range rate,which has the potential capability to improve the tracking performance.However,the nonlinear degree between the measurement and the target state increases with the introduction of the Doppler measurement.Therefore,target tracking in the Doppler radar is a nonlinear filtering problem.In order to handle this problem,the Kalman filter form of best linear unbiased estimation(BLUE)with position measurements is proposed,which is combined with the sequential filtering algorithm to handle the Doppler measurement further,where the statistic characteristic of the converted measurement error is calculated based on the predicted information in the sequential filter.Moreover,the algorithm is extended to the maneuvering target tracking case,where the interacting multiple model(IMM)algorithm is used as the basic framework and the model probabilities are updated according to the BLUE position filter and the sequential filter,and the final estimation is a weighted sum of the outputs from the sequential filters and the model probabilities.Simulation results show that compared with existing approaches,the proposed algorithm can realize target tracking with preferable tracking precision and the extended method can achieve effective maneuvering target tracking.

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《系统工程与电子技术（英文版）》 |2020年第6期|1167-1177|共11页
作者
PENG Han; CHENG Ting; LI Xi;
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School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China;

School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China;

School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China;

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入库时间 2022-08-19 04:55:34

De-correlated unbiased sequential filtering based on best unbiased linear estimation for target tracking in Doppler radar

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