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

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

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

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

^*此作品的通讯作者

信息与电子学院

科研成果: 期刊稿件 › 文章 › 同行评审

10 引用（Scopus）

摘要

Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises. Faced with this problem, the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution (WVD) figure of signals with noise, and then signal characteristics can be extracted well and truly under Hough transform. Through computer simulation of the Wigner-Hough transform (WHT), SPWD-Hough transform and improving WHT, feature extraction result of multi-component LFM signal using improved WHT proved to be the best.

源语言	英语
页（从-至）	914-917
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	28
期	10
出版状态	已出版 - 10月 2008

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引用此

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

abstract = "Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises. Faced with this problem, the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution (WVD) figure of signals with noise, and then signal characteristics can be extracted well and truly under Hough transform. Through computer simulation of the Wigner-Hough transform (WHT), SPWD-Hough transform and improving WHT, feature extraction result of multi-component LFM signal using improved WHT proved to be the best.",

keywords = "Feature extraction, Multi-component LFM signal, Sobel operator, Wigner-Hough transform",

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

year = "2008",

month = oct,

language = "English",

volume = "28",

pages = "914--917",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

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TY - JOUR

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

AU - Liu, Feng

AU - Sun, Da Peng

AU - Huang, Yu

AU - Tao, Ran

AU - Wang, Yue

PY - 2008/10

Y1 - 2008/10

N2 - Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises. Faced with this problem, the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution (WVD) figure of signals with noise, and then signal characteristics can be extracted well and truly under Hough transform. Through computer simulation of the Wigner-Hough transform (WHT), SPWD-Hough transform and improving WHT, feature extraction result of multi-component LFM signal using improved WHT proved to be the best.

AB - Feature extraction of multi-component LFM signal based on Wigner-Hough transform is generally plagued by noises. Faced with this problem, the improved Sobel operator of digital image processing is used to detect edge features of Wigner-Ville distribution (WVD) figure of signals with noise, and then signal characteristics can be extracted well and truly under Hough transform. Through computer simulation of the Wigner-Hough transform (WHT), SPWD-Hough transform and improving WHT, feature extraction result of multi-component LFM signal using improved WHT proved to be the best.

KW - Feature extraction

KW - Multi-component LFM signal

KW - Sobel operator

KW - Wigner-Hough transform

UR - https://www.scopus.com/pages/publications/55949123027

M3 - Article

AN - SCOPUS:55949123027

SN - 1001-0645

VL - 28

SP - 914

EP - 917

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 10

ER -

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

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