Anti-bias track association algorithm based on sequential detection of iterative discrete degree

被引：0
|
作者：
Guan X. [1 ]
Guo J. [1 ]
机构：
[1] Naval Aviation University, Yantai
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 08期
关键词：
discrete degree; sequential detection; systematic error; track association;
D O I：
10.12305/j.issn.1001-506X.2022.08.14
中图分类号：
学科分类号：
摘要：
Aiming at the shortcoming of the batch correlation method's insufficient utilization of the overall track information and the existing anti-bias algorithm's inability to deal with the correlation under large system errors, an anti-bias track association algorithm based on sequential detection of iterative discrete degree is proposed. Firstly, the iterative discrete degree is introduced as the correlation statistic, and the probability distribution of discrete degree at different times is derived from the random measurement based on error reconstruction. Then two correlation criteria are designed according to the different detection endpoints, and the sequential detection of discrete degree is carried out under different criteria to realize the anti-bias correlation of tracks. Experimental results show that the algorithm has a high correct correlation rate in complex scenes such as dense targets and large systematic errors, and the correlation speed is significantly improved compared with the conventional algorithm. © 2022 Chinese Institute of Electronics. All rights reserved.
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页码：2498 / 2505
页数：7
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