Ad hoc networking
Waveform selection in radar target classification
IEEE Transactions on Information Theory
Adaptive clustering for mobile wireless networks
IEEE Journal on Selected Areas in Communications
Scalable routing strategies for ad hoc wireless networks
IEEE Journal on Selected Areas in Communications
A access-based clustering protocol for multihop wireless ad hoc networks
IEEE Journal on Selected Areas in Communications
Radar sensor network using a new triphase coded waveform: theory and application
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Collaborative signal processing using radar sensor networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Oblique projection polarization filtering-based interference suppressions for radar sensor networks
EURASIP Journal on Wireless Communications and Networking - Special issue on radar and sonar sensor networks
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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 linear frequency modulation (LFM) waveform: (1) the conditions for waveform co-existence, (2) interferences among waveforms in RSN, (3) waveform diversity in RSN. Then we apply RSN to ATR with delay-doppler uncertainty and propose maximum-likekihood (ML) ATR algorithms for fluctuating target and nonfluctuating target. Simulation results show that our RSN vastly reduces the ATR error comparing to a single radar system in ATR with delaydoppler uncertainty.