一种高分辨距离像辅助的多目标跟踪算法

doi:10.3969/j.issn.1001-2400.2016.01.001

Abstract

Abstract:

When the tracks of the multi-target get approached or crossed, it is easy to lead to combining or even to get wrong tracks for the traditional tracking methods, since the traditional methods only utilize the information on the target position to finish the data association. Aiming at this problem, a multi-target tracking algorithm aided by the high resolution range profile (HRRP) is proposed in this paper. Firstly, the target attitude angle is estimated in real time on the principle that the HRRP is sensitive to the attitude angle. And then the attitude angle is added to the target measurement state to construct a multi-dimension correlating gate. The data association is accomplished with the multi-dimension information. So the problem of multi-target data association is simplified to multiple sub-problems of data association for a single target. Finally, each target motion state is estimated by the probabilistic data association-unscented Kalman filter (PDA-UKF). Simulation results reveal that the computing complexity is reduced, and that the correct probability of data association is improved by using the target HRRP on the one hand. On the other hand, the tracking accuracy is improved with the aid of the target attitude angle.

Key words: multi-target tracking, data association, high resolution range profile(HRRP), unscented Kalman filter(UKF)

CLC Number:

TN953

JIN Biao;SU Tao;LI Yanyan;ZHANG Long. Multi-target tracking algorithm aided by a high resolution range profile[J].J4, 2016, 43(1): 1-6+29.

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Multi-target tracking algorithm aided by a high resolution range profile

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