Title :
Distributive JPDAF for Multi-Target Tracking in Wireless Sensor Networks
Author :
Ma, Hui ; Ng, Brian W H
Author_Institution :
Adelaide Univ., SA
Abstract :
In this paper we present the development of a distributive joint probabilistic data association filter (JPDAF) for multi-target tracking in wireless sensor networks. We adopt sequential Monte Carlo (SMC) method to implement the JPDAF, and use Gaussian mixture model (GMM) to develop the distributive JPDAF. Simulation results are also provided
Keywords :
Gaussian processes; Monte Carlo methods; filtering theory; probability; sensor fusion; target tracking; wireless sensor networks; GMM; Gaussian mixture model; SMC; distributive JPDAF; joint probabilistic data association filter; multitarget tracking; sequential Monte Carlo method; wireless sensor networks; Australia; Bayesian methods; Filtering; Filters; Monte Carlo methods; Radar tracking; Sensor phenomena and characterization; Sliding mode control; Target tracking; Wireless sensor networks;
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
DOI :
10.1109/TENCON.2006.343949
