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Collaborative In-Network Processing for Target Tracking
EURASIP Journal on Advances in Signal Processing volume 2003, Article number: 616720 (2003)
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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Liu, J., Reich, J. & Zhao, F. Collaborative In-Network Processing for Target Tracking. EURASIP J. Adv. Signal Process. 2003, 616720 (2003). https://doi.org/10.1155/S111086570321204X
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DOI: https://doi.org/10.1155/S111086570321204X