Collaborative signal processing using radar sensor networks

Authors:
Qilian Liang
Affiliations:
Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX
Venue:
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Year:
2006

Citing 6
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Abstract

In this paper, we propose a collaborative signal processing framework using waveform diversity in radar sensor networks (RSN). We study waveform diversity using constant frequency (CF) pulse waveform and linear frequency modulation (LFM) waveform, and compare their performance in automatic target recognition (ATR) with delay-doppler uncertainty. Simulation results show that CF pulse waveform and LFM waveform can achieve very similar performance in ATR with delay-doppler uncertainty using radar sensor networks. The ATR performance can tremendously be improved with larger number of radars in RSN.