DocumentCode :
3433220
Title :
Multi-Component LFM Signal Feature Extraction Based on Improved Wigner-Hough Transform
Author :
Liu Feng ; Sun Da Peng ; Tao Ran ; Wang Yue
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Hough transform has been disturbed by the noise. Faced with this problem, firstly, use the improved Sobel operator of digital image processing to detect edge feature of WVD figure of signal with noise, and then search local max in parameter space though Hough transform. Finally through computer simulation of the WHT, SPWD-Hough and improving WHT, feature extraction result of multi-component LFM signal using improved WHT is proved best. The method computes fast and noise can be suppressed efficiently.
Keywords :
Hough transforms; feature extraction; frequency modulation; image processing; Sobel operator; Wigner-Hough transform; digital image processing; feature extraction; linear frequency modulation; multicomponent LFM signal; radar reconnaissance; Computer vision; Digital images; Face detection; Feature extraction; Image edge detection; Noise figure; Radar detection; Radar imaging; Reconnaissance; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.462
Filename :
4678371
Link To Document :
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