UWB radar sensor networks detection of targets in foliage using short-time Fourier transform

Authors:
Jing Liang;Qilian Liang
Affiliations:
Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX;Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX
Venue:
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Year:
2009

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Interference mitigation between ultra-wideband sensor network and other legal systems

EURASIP Journal on Wireless Communications and Networking - Special issue on radar and sonar sensor networks

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Abstract

In this paper, we study target detection in foliage environment. When radar echoes are in good quality, the detection of target can be achieved by applying short time Fourier transform (STFT) to the received UWB radar waveform. We compare our approach in case of no target as well as with target against the scheme in which 2-D image was created via adding voltages with the appropriate time offset. Results show that our approach can detect target more easily. When radar echoes are in poor condition and single radar is unable to carry out the detection, we employ both Radar Sensor Networks (RSN) and RAKE structure to combine the echoes from different radar members and finally detect the target.