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PIER PIER B PIER C PIER M PIER Letters
2008-03-30
Tracking Airborne Targets Hidden in Blind Doppler Using Current Statistical Model Particle Filter
By
Zhi-Guo Shi,

    Professor Zhi-Guo Shi

    Department of Information and Electronic Engineering

    Zhejiang University

    China

    Homepage

Shao-Hua Hong,

    Dr. Shao-Hua Hong

    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. 82, 227-240, 2008
doi:10.2528/PIER08012407
Abstract
This paper aims at finding an algorithm featuring good estimation performance and easy hardware implementation for tracking airborne target hidden in blind Doppler. Incorporating the current statistical model which is effective in dealing with the maneuvering motions that most blind Doppler issues are caused, a current statistical model particle filter (CSM-PF) is presented in this paper for tracking airborne targets hidden in blind Doppler. Simulation results demonstrate that the proposed CSM-PF shows similar performance with the interacting multiple model particle filter (IMM-PF) in terms of tracking accuracy and track continuity, but it avoids the difficulty of model selection for maneuvering targets. In addition, when hardware implementation is considered, the proposed CSM-PF has lower processing latency, fewer resource utilization and lower hardware complexity than the IMM-PF.
Citation
Zhi-Guo Shi, Shao-Hua Hong, and Kang Chen, "Tracking Airborne Targets Hidden in Blind Doppler Using Current Statistical Model Particle Filter," Progress In Electromagnetics Research, Vol. 82, 227-240, 2008.
doi:10.2528/PIER08012407
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