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PIER PIER B PIER C PIER M PIER Letters
2011-09-30
Simplified Particle PHD Filter for Multiple-Target Tracking: Algorithm and Architecture
By
Shaohua Hong,

    Dr. Shaohua Hong

    Department of Communication Engineering

    Xiamen University

    China

    Homepage

Lin Wang,

    Dr. Lin Wang

    Department of Communication Engineering

    Xiamen University

    China

    Homepage

Zhi-Guo Shi,

    Professor Zhi-Guo Shi

    Department of Information and Electronic Engineering

    Zhejiang University

    China

    Homepage

Kang Chen

    Dr. Kang Chen

    Department of Information and Electronic Engineering

    Zhejiang University

    China

    Homepage

Progress In Electromagnetics Research, Vol. 120, 481-498, 2011
doi:10.2528/PIER11081901
Abstract
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.
Citation
Shaohua Hong, Lin Wang, Zhi-Guo Shi, and Kang Chen, "Simplified Particle PHD Filter for Multiple-Target Tracking: Algorithm and Architecture," Progress In Electromagnetics Research, Vol. 120, 481-498, 2011.
doi:10.2528/PIER11081901
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