Title :
Joint emitter detection and tracking using distributed Random Exchange Diffusion Particle Filtering
Author :
Dias, Stiven S. ; Bruno, Marcelo G. S.
Author_Institution :
R&D Dept., Embraer Defense & Security, Brazil
Abstract :
We introduce in this paper a new fully distributed particle filter (PF) algorithm based on random information diffusion that is capable of performing joint multi-frame detection and tracking of a single moving emitter using a cooperative network of multiple received-signal-strength (RSS) sensors. Unlike previous consensus-based distributed PF schemes, the proposed Random Exchange Diffusion Particle Filter (ReDif-PF) does not require multiple iterative inter-node communication in the time interval between the arrival of two consecutive sensor measurements. Inter-node communication cost is further reduced by suitable parametric approximations.
Keywords :
approximation theory; cooperative communication; cost reduction; particle filtering (numerical methods); random processes; signal detection; target tracking; wireless sensor networks; RSS sensor; ReDif-PF; consecutive sensor measurement; cooperative network; distributed random exchange diffusion particle filtering; internode communication cost reduction; joint emitter detection and tracking; parametric approximation; random information diffusion; received signal strength; Approximation methods; Joints; Monte Carlo methods; Sensors; Surveillance; Target tracking; Vectors; Diffusion; Distributed Particle Filters; Joint Detection and Tracking; RSS Emitter Tracking;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6853840
