基于幅值信息的近邻廉价JPDA IMM

The 2012 International Workshop on Microwave and Millimeter Wave Circuits and System Technology Pub Date : 2012-04-19 DOI:10.1109/MMWCST.2012.6238188

Yao Liu, Wei Zhang, Ming-yan Chen

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引用次数: 3

摘要

为了提高低信噪比或高虚警率条件下的多目标跟踪性能，提出了一种基于幅度信息(AI)的近邻廉价JPDA (NNCJPDA)交互多模型(IMM)算法。该算法将NNCJPDA的关联似然与幅值似然比相结合。在低信噪比或高虚警率的情况下，利用幅度信息可以提高跟踪精度，减少计算量。仿真结果表明，该算法提高了目标跟踪性能和计算效率，保证了系统的收敛性。

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Near Neighbor Cheap JPDA IMM based on amplitude information

A Near Neighbor Cheap JPDA (NNCJPDA) Interacting Multiple Model (IMM) algorithm based on amplitude information (AI) is proposed to improve the performance of multi-target tracking under conditions of low signal to noise ratio (SNR) or high false alarm rate. In this algorithm, the association likelihood of NNCJPDA is combined with the likelihood ratio of amplitude. Under conditions of low SNR or high false alarm rate, the amplitude information can be used to improve the accuracy of tracking and reduce the amount of computation. Simulation results demonstrate that the proposed algorithm improves the performance of target tracking and computational efficiency, and ensures the astringency of the system.

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The 2012 International Workshop on Microwave and Millimeter Wave Circuits and System Technology

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