Channel Fault Tolerant Target Tracking in Multi-hop Wireless Sensor Networks Based on Particle Filtering

Abstract

In this paper, a novel channel fault tolerant particle filtering is proposed for target tracking in a fading multi-hop wireless sensor network. The quantized binary data from local sensors need to be relayed through multi-hop transmission in order to reach a fusion center. Each relay node employs a binary relay scheme where the relay output is inferred from the channel impaired observation received from its source node. The observation likelihood function of each particle is deduced with the consideration of physical channel. The fading channels between sensors and the fusion center are incorporated in the tracking algorithm under particle filtering framework. Assuming that the fusion center has knowledge of the fading channel gains and has only the fading channel statistics, we propose respectively the channel fault tolerant target tracking algorithms. The improved tracking accuracy and robustness to channel imperfection of the proposed channel fault tolerant filtering are shown through extensive computer simulations.