Decentralized quantized multi-target tracking in wireless sensor networks

For wireless sensor networks, target tracking is an important application area, but the quantitative tracking methods in wireless sensor networks are more concentrate on single-target tracking. In this paper, we present a new method based on quantitative multi-target tracking especially maneuvering targets. First, we derive a new quantized joint probability data association algorithm (SJPDA-IMM), the performance and complexity of this algorithm are very close to the standard joint probability data association based on 1 bit. Second, we propose a distributed multi-target tracking algorithm based on SJPDA-IMM in wireless sensor networks. Simulation results show that this algorithm can successfully track multiple targets especially maneuvering target with minimal power consumption in wireless sensor networks.