Open Access

Collaborative In-Network Processing for Target Tracking

EURASIP Journal on Advances in Signal Processing20032003:616720

Received: 21 December 2001

Published: 30 March 2003


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.


sensor networktarget trackingdistributed processingBayesian filteringbeamformingmutual information

Authors’ Affiliations

Palo Alto Research Center, Palo Alto, USA


© Copyright © 2003 Hindawi Publishing Corporation 2003