Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (14): 143-147.

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Method of radar signal de-noising based on lifting wavelet improved threshold

CAO Xiaoying1,2, ZHANG Zhijun1, XIANG Jianjun1   

  1. 1.School of Engineering, Air Force Engineering University, Xi’an 710038, China
    2.The Second Flight Academy of Air Force, Huxian, Shaanxi 710306, China
  • Online:2012-05-11 Published:2012-05-14

基于提升小波改进阈值的雷达信号去噪方法

曹晓英1,2,张智军1,向建军1   

  1. 1.空军工程大学 工程学院,西安 710038
    2.空军第二飞行学院,陕西 户县 710306

Abstract: Aimed at the shortcomings and limitation of threshold de-noising in wavelet, a new threshold function is introduced based on lifting wavelet. It gains the wavelet coefficient in noising signal through lifting wavelet, and makes use of the new threshold function to process signal de-noising. The simulation results manifest that the new threshold function can suppress the noise effectively and gain a faster processing. It is better than classical threshold function and the existing improved threshold functions in SNR and MSE and it has high practical value in the radar dim target detection.

Key words: lifting wavelet, threshold function, wavelet threshold de-noising, radar signal

摘要: 针对传统小波域阈值去噪的局限性和缺陷,提出了基于提升小波变换的改进阈值函数去噪新方法。通过提升小波变换提取含噪信号小波系数,并利用新阈值函数进行降噪处理。实验仿真结果表明,该方法运算速度快,能有效抑制噪声,信噪比和均方根误差性能均优于经典阈值函数和已有的两种改进阈值函数,在对雷达弱小目标的检测中有很好的应用价值。

关键词: 提升小波变换, 阈值函数, 小波阈值去噪, 雷达信号