Sequential filtering for target tracking based on the prediction position conditioned measurement conversion

被引：5
|
作者：
Peng H. [1 ]
Cheng T. [1 ]
机构：
[1] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2019年 / 41卷 / 03期
关键词：
Doppler measurement; Nonlinear measurement conversion; Sequential filtering; Target tracking;
D O I：
10.3969/j.issn.1001-506X.2019.03.13
中图分类号：
学科分类号：
摘要：
A sequential filtering algorithm for target tracking in Doppler radar based on the prediction position conditioned conversion is presented. The nonlinear problem is solved by the measurement conversion and the sequential estimation is used to process the pseudo-measurement to achieve target tracking. The measurement conversion method is based on prediction information, which includes the unbiased position measurement conversion and the debiased pseudo-measurement conversion. At the same time, the algorithm is extended to maneuvering target tracking, the update probability is obtained from position measurement estimation and pseudo measurement estimation, and the final estimation is a combination of pseudo-measurement estimation and update probabilities. The simulation results show that compared with the conventional filtering algorithms, the proposed algorithm can realize target tracking effectively with preferable tracking precision and the extended method can achieve effective maneuvering target tracking. © 2019, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：549 / 554
页数：5
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