Joint multiple target tracking and channel estimation in wireless sensor networks

Majdi Mansouri, Hichem Snoussi, Cédric Richard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper addresses multiple target tracking (MTT) in wireless sensor networks (WSN) where the nonlinear observed system is assumed to progress according to a probabilistic state space model. In this paper, we propose to improve the use of the quantized variational filtering (QVF) by optimally quantizing the data collected by the sensors and estimating the channel attenuation between sensors. Our proposed technique is intended to jointly estimate the multiple target positions by using the Hybrid QVF and Sequential Monte Carlo-based approach to data association (SMCDA) algorithm, optimize the number of quantization bits per observation and estimate the fading channel coefficient. The adaptive quantization is achieved by maximizing the predicted Fisher information and the fading channel coefficient is estimated by maximizing the a posteriori distribution. The simulation results show that the adaptive quantization algorithm, outperforms both the centralized quantized particle filter (QPF) and the VF algorithm based on binary sensors (BVF).

Original languageEnglish
Title of host publication2010 IEEE Global Telecommunications Conference, GLOBECOM 2010
DOIs
Publication statusPublished - 1 Dec 2010
Event53rd IEEE Global Communications Conference, GLOBECOM 2010 - Miami, FL, United States
Duration: 6 Dec 201010 Dec 2010

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other53rd IEEE Global Communications Conference, GLOBECOM 2010
CountryUnited States
CityMiami, FL
Period6/12/1010/12/10

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Mansouri, M., Snoussi, H., & Richard, C. (2010). Joint multiple target tracking and channel estimation in wireless sensor networks. In 2010 IEEE Global Telecommunications Conference, GLOBECOM 2010 [5683477] (GLOBECOM - IEEE Global Telecommunications Conference). https://doi.org/10.1109/GLOCOM.2010.5683477