空天预警研究学报2023，Vol.37Issue(4)：252-256,5.DOI:10.3969/j.issn.2097-180X.2023.04.004
基于动态规划的多目标复合检测与跟踪算法
Multi-target composite detection and tracking algorithm based on dynamic programming
摘要
Abstract
The multi-target detection and tracking algorithm based on dynamic programming(DP)involves the problem of computational explosion and difficulty in distinguishing adjacent targets.Aiming at the unknown number of targets in practical application and the limitation of strong and weak targets co-existing in environment,this paper proposes a multi-target composite detection and tracking algorithm based on dynamic programming.Firstly,the traditional constant false alarm rate(CFAR)algorithm is used to perform the initial detection so as to identify and eliminate the strong targets.Then,the DP-based track-before-detect(TBD)algorithm is adopted to perform partitioning dynamic programming on the data after the initial detection to realize the detection and track-ing of weak targets,thus achieving the effective detection of dense targets in complex environment.Finally,the performance of the proposed algorithm is verified by simulation and measured data,and the results show that the algorithm is efficient and robust.关键词
动态规划/检测前跟踪/多目标检测Key words
dynamic programming(DP)/track-before-detect(TBD)/multi-target detection分类
信息技术与安全科学引用本文复制引用
安政帅..基于动态规划的多目标复合检测与跟踪算法[J].空天预警研究学报,2023,37(4):252-256,5.基金项目
陕西省青年科技新星项目(2022KJXX-94) （2022KJXX-94）
