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This article is part of the series Algorithmic Aspects of Wireless Networks.

Open Access Open Badges Research Article

Radar Sensor Networks: Algorithms for Waveform Design and Diversity with Application to ATR with Delay-Doppler Uncertainty

Qilian Liang

Author Affiliations

Department of Electrical Engineering, University of Texas at Arlington, Room 518, 416 Yates Street, Arlington, TX 76019-0016, USA

EURASIP Journal on Wireless Communications and Networking 2007, 2007:089103  doi:10.1155/2007/89103

The electronic version of this article is the complete one and can be found online at: http://jwcn.eurasipjournals.com/content/2007/1/089103

Received:30 May 2006
Revisions received:28 November 2006
Accepted:29 November 2006
Published:15 January 2007

© 2007 Liang

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty. In this paper, we firstly perform some theoretical studies on radar sensor network (RSN) design based on linear frequency modulation (LFM) waveform: (1) the conditions for waveform coexistence, (2) interferences among waveforms in RSN, (3) waveform diversity in RSN. Then we apply RSN to ATR with delay-Doppler uncertainty and propose maximum-likeihood (ML) ATR algorithms for fluctuating targets and nonfluctuating targets. Simulation results show that our RSN vastly reduces the ATR error compared to a single radar system in ATR with delay-Doppler uncertainty. The proposed waveform design and diversity algorithms can also be applied to active RFID sensor networks and underwater acoustic sensor networks.


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