DocumentCode :
2782613
Title :
Slow-time SAR signal processing for UWB OFDM radar system
Author :
Garmatyuk, Dmitriy ; Brenneman, Matthew
Author_Institution :
Dept. of ECE, Miami Univ., Oxford, OH, USA
fYear :
2010
fDate :
10-14 May 2010
Firstpage :
853
Lastpage :
858
Abstract :
Orthogonal frequency division multiplexing (OFDM) signals, commonly used for a variety of purposes in modern communication systems, are considered from the radar perspective. An experimental system configured as ultrawideband (UWB) software-defined radar (SDR) has been assembled and tested in the synthetic aperture radar (SAR) mode at Miami University. Phase history - necessary for slow-time processing of SAR signals - was previously extracted from a single sub-carrier of OFDM pulses; in this paper we examine a more robust solution of phase history estimation using all subcarriers. The results of the estimation are compared with the ideal single-frequency phase history reconstruction. Simulation examples of cross-range recoveries in noise using both methods are provided and discussed. It is shown that the proposed novel method of slow-time OFDM SAR signal processing is, indeed, a promising technique for multicarrier UWB systems.
Keywords :
OFDM modulation; radar signal processing; synthetic aperture radar; ultra wideband radar; Miami University; SAR signal processing; UWB OFDM radar system; modern communication systems; multicarrier UWB systems; orthogonal frequency division multiplexing; phase history estimation; single-frequency phase history reconstruction; synthetic aperture radar; ultrawideband software-defined radar; Assembly systems; History; OFDM; Phase estimation; Radar signal processing; Signal processing; Software testing; Synthetic aperture radar; Ultra wideband radar; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
1097-5659
Print_ISBN :
978-1-4244-5811-0
Type :
conf
DOI :
10.1109/RADAR.2010.5494502
Filename :
5494502
Link To Document :
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