上海交通大学学报（英文版） ›› 2011, Vol. 16 ›› Issue (6): 704-707.doi: 10.1007/s12204-011-1214-4

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Chaff Cloud Jamming Suppression Based on Wavelet Transform

ZHAO Hai-bo (赵海波),    PEI Jin-ze (裴晋泽),     ZHAO Lei-ming (赵雷鸣),    HU  Guang-rui (胡光锐)   

  1. (1. Naval Academy of Armament, Shanghai 200436, China;
    2. Department of Electronic Engineering, Shanghai Jiaotong
    University, Shanghai 200240, China) 
  • 收稿日期:2011-10-09 出版日期:2011-12-30 发布日期:2012-01-12
  • 通讯作者: ZHAO Hai-bo (赵海波) E-mail:hldzhb@yahoo.com.cn

Chaff Cloud Jamming Suppression Based on Wavelet Transform

ZHAO Hai-bo (赵海波),    PEI Jin-ze (裴晋泽),     ZHAO Lei-ming (赵雷鸣),    HU  Guang-rui (胡光锐)   

  1. (1. Naval Academy of Armament, Shanghai 200436, China;
    2. Department of Electronic Engineering, Shanghai Jiaotong
    University, Shanghai 200240, China) 
  • Received:2011-10-09 Online:2011-12-30 Published:2012-01-12
  • Contact: ZHAO Hai-bo (赵海波) E-mail:hldzhb@yahoo.com.cn

摘要：  Radar target signals and chaff cloud
jamming signals have different characters by the wavelet transform.
The wavelet coefficients of radar target signals are highly
correlated with its near-and-near-scale wavelet coefficients,
however the correlativity between the wavelet coefficients of chaff
cloud jamming signals and its near-and-near scale wavelet
coefficients is less significant. Based on the binary-base discrete
wavelet transform and the correlation algorithm, the method of
target entropy to estimate standard variance of the jamming signals
and each scale is proposed to ensure reasonable threshold, to
suppress chaff cloud signals and finally to reconstruct mixed
signals by the improved spatially selective noise filtration (ISSNF)
method. The extensive simulation results show that the proposed
method can availably suppress chaff cloud jamming and decontaminate
target echo.

关键词: wavelet transform, target entropy, improved
spatially selective noise filtration (ISSNF), jamming suppression

Abstract:  Radar target signals and chaff cloud
jamming signals have different characters by the wavelet transform.
The wavelet coefficients of radar target signals are highly
correlated with its near-and-near-scale wavelet coefficients,
however the correlativity between the wavelet coefficients of chaff
cloud jamming signals and its near-and-near scale wavelet
coefficients is less significant. Based on the binary-base discrete
wavelet transform and the correlation algorithm, the method of
target entropy to estimate standard variance of the jamming signals
and each scale is proposed to ensure reasonable threshold, to
suppress chaff cloud signals and finally to reconstruct mixed
signals by the improved spatially selective noise filtration (ISSNF)
method. The extensive simulation results show that the proposed
method can availably suppress chaff cloud jamming and decontaminate
target echo.

Key words: wavelet transform, target entropy, improved
spatially selective noise filtration (ISSNF), jamming suppression

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