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
KUPS: knowledge-based ubiquitous and persistent sensor networks for threat assessment
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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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 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 esults 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.