SIMPLIFIED PARTICLE PHD FILTER FOR MULTIPLE-TARGET TRACKING: ALGORITHM AND ARCHITECTURE

被引：15
|
作者：
Hong, S. H. [1 ]
Wang, L. [1 ]
Shi, Z. G. [2 ]
Chen, K. S. [2 ]
机构：
[1] Xiamen Univ, Dept Commun Engn, Xiamen 361005, Fujian, Peoples R China
[2] Zhejiang Univ, Dept Informat & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
来源：
PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER | 2011年 / 120卷
关键词：
D O I：
10.2528/PIER11081901
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, we propose a simplified particle probability hypothesis density (PHD) filter and its hardware implementation for multiple-target tracking (MTT). In the proposed algorithm, the update step of particle PHD filter is simplified and the time-varying number of measurements is arranged in combination series/parallel mode. This may result in fixed hardware architecture and therefore present a convenient hardware implementation of particle PHD filter. Simulation results indicate that for the MTT problems, this proposed simplified algorithm shows similar performance with the standard particle PHD filter but has faster processing rate. Experiment study shows that the proposed simplified algorithm can be efficiently implemented in hardware and can effectively solve the MTT problems.
引用
收藏
页码：481 / 498
页数：18
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