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Collaborative In-Network Processing for Target Tracking

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Abstract

This paper presents a class of signal processing techniques for collaborative signal processing in ad hoc sensor networks, focusing on a vehicle tracking application. In particular, we study two types of commonly used sensors—acoustic-amplitude sensors for target distance estimation and direction-of-arrival sensors for bearing estimation—and investigate how networks of such sensors can collaborate to extract useful information with minimal resource usage. The information-driven sensor collaboration has several advantages: tracking is distributed, and the network is energy-efficient, activated only on a when-needed basis. We demonstrate the effectiveness of the approach to target tracking using both simulation and field data.

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Correspondence to Juan Liu.

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Liu, J., Reich, J. & Zhao, F. Collaborative In-Network Processing for Target Tracking. EURASIP J. Adv. Signal Process. 2003, 616720 (2003) doi:10.1155/S111086570321204X

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Keywords

  • sensor network
  • target tracking
  • distributed processing
  • Bayesian filtering
  • beamforming
  • mutual information