异步多传感器多目标PHD航迹合成算法
收稿日期: 2012-12-25
修回日期: 2013-07-11
网络出版日期: 2013-09-05
基金资助
国家自然科学基金（60901069）
PHD for Composite Tracking Algorithm Based on Asynchronous Multi-sensor Multi-target Measurements
Received date: 2012-12-25
Revised date: 2013-07-11
Online published: 2013-09-05
吴鑫辉 , 黄高明 , 高俊 . 异步多传感器多目标PHD航迹合成算法[J]. 航空学报, 2013 , 34(12) : 2785 -2793 . DOI: 10.7527/S1000-6893.2013.0338
The current composite tracking algorithms are computationally intractable and may lose target tracks in the undetected region. In order to solve these problems, a new composite tracking algorithm based on the probability hypothesis density (PHD) algorithm is proposed. The detection region is divided into a one-sensor region, a multiple-sensor region and an undetected region. Multi-sensor PHD filters for the regions are constructed using finite sets statistics theory (FISST). Tracking initiation and tracking maintenance methods for different regions are presented. Finally, the closed-form solutions to the PHD composite tracking algorithm are derived under the linear-Gaussian conditions. Compared with the product multi-sensor PHD, simulation results show that the proposed algorithm has lower computational complexity and better estimation of target states, which indicates its good prospect for application in engineering fields.
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