volume | PIER Journals

Abstract

In this paper, we present a distributed particle filter (DPF) for target tracking in a sensor network. The proposed DPF consists of two major steps. First, particle compression based on support vector machine is performed to reduce the cost of transmission among sensors. Second, each sensor fuses the compressed information from its neighboring nodes with use of consensus or gossip algorithm to estimate the target track. Computer simulations are included to verify the effectiveness of the proposed approach.

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Dr. Hong-Qing Liu

Dr. Hing-Cheung So

Dr. Frankie Kit Wing Chan

Dr. Kenneth Wing Kin Lui