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