盒粒子基数平衡多目标多伯努利滤波在OTHR多路径多目标跟踪中的应用

Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019) Pub Date : 2019-04-01 DOI:10.2991/ICMEIT-19.2019.153

Yong Qin

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引用次数: 1

摘要

摘要针对超视距雷达(OTHR)中的多目标跟踪问题，提出了一种新的盒粒子多径基数平衡多目标多伯努利(BPMPCBMeMBer)滤波器。该算法将多路径基数平衡多目标多伯努利(MPCBMeMBer)滤波与区间分析相结合，解决了测量模型非线性和计算复杂度高的问题。首先建立基于区间分析的OTHR测量模型，然后在原MPCBMeMBer滤波器的基础上，利用盒粒子滤波得到BPMPCBMeMBer;最后给出了仿真结果，验证了BP-MPCBMeMBer滤波器的有效性。

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Box-particle Cardinality Balanced Multitarget Multi-Bernoulli Filter for Multipath Multitarget Tracking in OTHR

Abstract. This paper proposes a novel box-particle multipath cardinality balanced multitarget multiBernoulli (BPMPCBMeMBer) filter for the problem of multitarget tracking in Over-the-horizon radar (OTHR). The proposed algorithm combines the multipath cardinality balanced multitarget multiBernoulli (MPCBMeMBer) filter with interval analysis to solve the problems of high computational complexity and nonlinear measurement models. First, establishment of the OTHR measurement model based on interval analysis, and then the box-particle filter is used to derive the BPMPCBMeMBer based on the original MPCBMeMBer filter. Eventually, the simulation results are presented to verify the effectiveness of the BP-MPCBMeMBer filter.

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Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

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