A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering

Majdi Mansouri, Hichem Snoussi, Cédric Richard

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

6 Citations (Scopus)

Abstract

We consider the problem of target tracking in wireless sensor networks where the nonlinear observed system is assumed to progress respecting to a probabilistic state space model. This proposition improves the use of the variational filtering (VF) by jointly estimating the target position and optimizing the power scheduling, where the sensor observations are corrupted by additive noises and attenuated by path-loss coefficient. In fact, the quantized variational filtering (QVF) has been shown to be adapted to the communication constraints of sensor networks. Its efficiency relies on the fact that the online update of the filtering distribution and its compression are executed simultaneously. We first optimize quantization for reconstructing a single sensors measurement, and developing the optimal number of quantization levels as well as the minimal power transmitted by sensors under distortion constraint. Then we estimate the path-loss coefficient by maximizing the a posteriori distribution and the target position by using the QVF. The simulation results prove that the adaptive power optimization algorithm, outperforms both the QVF algorithm using uniform power level and the VF algorithm based on binary sensors.

Original languageEnglish
Title of host publication3rd International Conference on Signals, Circuits and Systems, SCS 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Conference on Signals, Circuits and Systems, SCS 2009 - Medenine, Tunisia
Duration: 6 Nov 20098 Nov 2009

Other

Other3rd International Conference on Signals, Circuits and Systems, SCS 2009
CountryTunisia
CityMedenine
Period6/11/098/11/09

Fingerprint

Target tracking
Wireless sensor networks
Sensors
Additive noise
Sensor networks
Nonlinear systems
Scheduling
Communication

Keywords

  • Nonlinear estimation
  • Path-loss coefficient
  • Power scheduling
  • Quantized variational filtering
  • Target tracking
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Mansouri, M., Snoussi, H., & Richard, C. (2009). A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering. In 3rd International Conference on Signals, Circuits and Systems, SCS 2009 [5412693] https://doi.org/10.1109/ICSCS.2009.5412693

A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering. / Mansouri, Majdi; Snoussi, Hichem; Richard, Cédric.

3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009. 5412693.

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

Mansouri, M, Snoussi, H & Richard, C 2009, A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering. in 3rd International Conference on Signals, Circuits and Systems, SCS 2009., 5412693, 3rd International Conference on Signals, Circuits and Systems, SCS 2009, Medenine, Tunisia, 6/11/09. https://doi.org/10.1109/ICSCS.2009.5412693
Mansouri M, Snoussi H, Richard C. A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering. In 3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009. 5412693 https://doi.org/10.1109/ICSCS.2009.5412693
Mansouri, Majdi ; Snoussi, Hichem ; Richard, Cédric. / A nonlinear estimation for target tracking in wireless sensor networks using quantized variational filtering. 3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009.
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