DocumentCode :
2269706
Title :
A parameter extraction technique for FMCW radar signals using Wigner-Hough-Radon transform
Author :
Gulum, T.O. ; Erdogan, A.Y. ; Yildirim, T. ; Pace, P.E.
Author_Institution :
Dept. of Electron. & Commun. Eng., Yildiz Tech. Univ., İstanbul, Turkey
fYear :
2012
fDate :
7-11 May 2012
Abstract :
An autonomous parameter extraction algorithm for frequency modulated continuous wave (FMCW) radar signals using Wigner-Ville Distribution (WVD)-Hough transform was investigated in [1] and extraction of polyphase radar modulation parameters using a Wigner-Ville distribution-Radon transform was investigated in [2]. The algorithm in [1] produced very dependable results with as low as -6 dB SNR levels, however some degradation has been observed below -6 dB SNR. The proposed approach in this study uses the WVD as a time-frequency (T-F) detection technique and combined Hough-Radon transform (HRT) to identify the parameters of the modulation. We showed that our algorithm can extract FMCW radar modulation parameters at low SNR levels, such as -9 dB, efficiently.
Keywords :
CW radar; FM radar; Hough transforms; Radon transforms; radar signal processing; time-frequency analysis; FMCW radar modulation parameter; FMCW radar signals; T-F detection technique; WVD-Hough transform; Wigner-Hough-Radon transform; Wigner-Ville distribution-Hough transform; Wigner-Ville distribution-Radon transform; autonomous parameter extraction algorithm; combined HRT; combined Hough-Radon transform; frequency-modulated continuous-wave radar signals; parameter extraction technique; polyphase radar modulation parameter; time-frequency detection technique; Frequency modulation; Radar; Signal to noise ratio; Transforms; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2012 IEEE
Conference_Location :
Atlanta, GA
ISSN :
1097-5659
Print_ISBN :
978-1-4673-0656-0
Type :
conf
DOI :
10.1109/RADAR.2012.6212255
Filename :
6212255
Link To Document :
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