Multi-Target Tracking in Distributed Wireless Sensor Networks with Packet Dropout

This paper investigates a distributed multi-target tracking (DMTT) method based on random finite sets (RFS) in distributed wireless sensor networks (DWSNs) with packet dropout. Based on the local cardinality probability hypothesis density (CPHD) filter, a consensus fusion method with information compensation (CF-IC) is proposed. The proposed method compensates the lost target information based on prior information and motion model, when some targets are lost. Finally, the performance of proposed CF-IC is evaluated through simulation experiments.