基于多维分配的多被动传感器多目标跟踪

2017 International Conference on Network and Information Systems for Computers (ICNISC) Pub Date : 2017-04-01 DOI:10.1109/ICNISC.2017.00009

Shizhe Bu, Gongjian Zhou

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引用次数: 0

摘要

在被动多传感器多目标跟踪中，由于只有角度测量，数据关联成为一项非常具有挑战性的任务。为了解决这一问题，本文提出了一种基于多维分配算法的多维/二维(S-D/2-D)方法。通过约束松弛，采用S-D分配算法解决多传感器间测量关联问题。通过极大似然估计，利用关联测量组获得目标的完整位置信息。提出了二维分配来实现测量与航迹的关联，关联的测量可以更新航迹。大量的蒙特卡罗仿真结果表明，该方法能较好地解决无源多传感器多目标跟踪问题，且计算量增加少，精度高。

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Multiple Passive Sensor Multi-Target Tracking Based on Multidimensional Assignment

In the field of passive multi-sensor multi-target tracking, since only angular measurement is available, data association turns into a quite challengeable task. To address this issue, a novel multidimensional/two dimensional (S-D/2-D) method based on multidimensional assignment algorithm is proposed in this paper. By constraint relaxation, S-D assignment algorithm is employed to solve the multi-sensor measurement-to-measurement association problem. The complete position information of targets are obtained using associated measurement group through maximum likelihood estimation. 2-D assignment is proposed to perform measurement-to-track association and the associated measurement can update the track. Large amounts of Monte Carlo simulation results show this method can solve passive multi-sensor multi-target tracking perfectly with low calculation load added and high precision.

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2017 International Conference on Network and Information Systems for Computers (ICNISC)

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