Multi-component LFM signal feature extraction based on improved wigner-hough transform

Feng Liu; Da Peng Sun; Ran Tao; Yue Wang

doi:10.1109/WiCom.2008.462

Multi-component LFM signal feature extraction based on improved wigner-hough transform

Feng Liu^*, Da Peng Sun, Ran Tao, Yue Wang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Mough 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.

Original language	English
Title of host publication	2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
DOIs	https://doi.org/10.1109/WiCom.2008.462
Publication status	Published - 2008
Event	2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 - Dalian, China Duration: 12 Oct 2008 → 14 Oct 2008

Publication series

Name	2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Conference

Conference	2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008
Country/Territory	China
City	Dalian
Period	12/10/08 → 14/10/08

Keywords

Feature extration
Multi-component LFM signal
Sobel operator
Wigner-hough transform

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10.1109/WiCom.2008.462

Cite this

Liu, F., Sun, D. P., Tao, R., & Wang, Y. (2008). Multi-component LFM signal feature extraction based on improved wigner-hough transform. In 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 Article 4678371 (2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008). https://doi.org/10.1109/WiCom.2008.462

@inproceedings{27cd75f8c3204807852d8de6ab648b57,

title = "Multi-component LFM signal feature extraction based on improved wigner-hough transform",

abstract = "In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Mough 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 = "Feature extration, Multi-component LFM signal, Sobel operator, Wigner-hough transform",

author = "Feng Liu and Sun, {Da Peng} and Ran Tao and Yue Wang",

year = "2008",

doi = "10.1109/WiCom.2008.462",

language = "English",

isbn = "9781424421084",

series = "2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008",

booktitle = "2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008",

note = "2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008 ; Conference date: 12-10-2008 Through 14-10-2008",

}

Liu, F, Sun, DP, Tao, R & Wang, Y 2008, Multi-component LFM signal feature extraction based on improved wigner-hough transform. in 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008., 4678371, 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, Dalian, China, 12/10/08. https://doi.org/10.1109/WiCom.2008.462

Multi-component LFM signal feature extraction based on improved wigner-hough transform. / Liu, Feng; Sun, Da Peng; Tao, Ran et al.
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008. 2008. 4678371 (2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-component LFM signal feature extraction based on improved wigner-hough transform

AU - Liu, Feng

AU - Sun, Da Peng

AU - Tao, Ran

AU - Wang, Yue

PY - 2008

Y1 - 2008

N2 - In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Mough 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.

AB - In modern radar reconnaissance system, feature extraction of multi-component LFM signal based on Wigner-Mough 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.

KW - Feature extration

KW - Multi-component LFM signal

KW - Sobel operator

KW - Wigner-hough transform

UR - http://www.scopus.com/inward/record.url?scp=58049100678&partnerID=8YFLogxK

U2 - 10.1109/WiCom.2008.462

DO - 10.1109/WiCom.2008.462

M3 - Conference contribution

AN - SCOPUS:58049100678

SN - 9781424421084

T3 - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

BT - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

T2 - 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Y2 - 12 October 2008 through 14 October 2008

ER -

Liu F, Sun DP, Tao R , Wang Y. Multi-component LFM signal feature extraction based on improved wigner-hough transform. In 2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008. 2008. 4678371. (2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008). doi: 10.1109/WiCom.2008.462

Multi-component LFM signal feature extraction based on improved wigner-hough transform

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