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Publications (4)1.96 Total impact

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    ABSTRACT: In this paper, we propose a compact threshold-based resampling algorithm and architecture for efficient hardware implementation of particle filters (PFs). By using a simple threshold-based scheme, this resampling algorithm can reduce the complexity of hardware implementation and power consumption. Simulation results indicate that this algorithm has approximately equal performance with the traditional systematic resampling (SR) algorithm when the root-mean-square error (RMSE) and lost track are considered. Experimental comparison of the proposed hardware architecture with those based on the SR and the residual systematic resampling (RSR) algorithms was conducted on a Xilinx Virtex-II Pro field programmable gate array (FPGA) platform in the bearings-only tracking context, and the results establish the superiority of the proposed architecture in terms of high memory efficiency, low power consumption, and low latency.
    Circuits Systems and Signal Processing 01/2010; 29(1):155-167. · 0.98 Impact Factor
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    ABSTRACT: For maneuvering target tracking, we propose a novel grey prediction based particle fllter (GP-PF), which incorporates the grey prediction algorithm into the standard particle fllter (SPF). The basic idea of the GP-PF is that new particles are sampled by both the state transition prior and the grey prediction algorithm. Since the grey prediction algorithm is a kind of model-free method and is able to predict the system state based on historical measurements other than establishing a priori dynamic model, the GP-PF can signiflcantly alleviate the sample degeneracy problem which is common in SPF, especially when it is used for maneuvering target tracking. Simulations are conducted in the context of two typical maneuvering motion scenarios and the results indicate that the overall performance of the proposed GP-PF is better than the SPF and the multiple model particle fllter (MMPF) when the tracking accuracy, computational complexity and tracking lost probability are considered. The performance improvements can be attributed to that the GP-PF has both model-based and model-free features.
    Progress in Electromagnetics Research-pier - PROG ELECTROMAGN RES. 01/2009;
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    ABSTRACT: In this paper, synchronization of chaotic Colpitts circuits using a particle filter (PF) to combat the additive white Gaussian noise (AWGN) channel effect is studied by numeric simulations. A novel PF algorithm suitable for chaos synchronization is proposed. With this algorithm, chaos synchronization of Colpitts circuits can be achieved and maintained in AWGN channels. Parameters in the proposed PF algorithm are studied to understand their effects on synchronization performance. The synchronization performance using the proposed PF algorithm is compared with those using other digital filters, such as the extended Kalman filter and the genericPF. It is found that the proposed PF algorithm performs better than the other digital filters. Simulation results also show that the particle number is not very critical to the synchronization performance when this PF algorithm is used.
    Circuits Systems and Signal Processing 12/2008; 27(6):833-845. · 0.98 Impact Factor
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    Zhi-Guo Shi, Shao-Hua Hong, Kang Sheng Chen
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    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.
    Progress in Electromagnetics Research-pier - PROG ELECTROMAGN RES. 01/2008;