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.
Multi-Target Tracking SJPDA-IMM Wireless Sensor Networks
ZHANG Zhi LI Jian Xun HAN Shan ZHU Qiang
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing,Ministry of Education of China, Shanghai 200240
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
6499-6502
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）