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小波阈值去噪在FMCW雷达信号处理中的应用

Application of wavelet threshold denoising method in signal processing of FMCW radar

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【作者】 陈文会刘芹刘小民李喆

【Author】 CHEN Wenhui;LIU Qin;LIU Xiaomin;LI Zhe;School of Electronics and Information, Northwestern Polytechnical University;Shaanxi Maihang Traffic Control Co. Ltd.;

【机构】 西北工业大学电子信息学院陕西脉航交通测控有限公司

【摘要】 针对调频连续波(FMCW)雷达回波信号中存在噪声的问题,采用小波阈值法进行去噪。详细讨论了小波阈值去噪过程中各参数的选取原则,构造了一种优于典型阈值函数(如:软、硬阈值函数,软硬阈值改良折衷法和半软阈值函数)的新阈值函数。利用典型阈值函数和构造的阈值函数,对实际雷达回波信号进行处理,证明了构造的阈值函数去噪效果更佳。

【Abstract】 Facing the problem of the existence of noise in Frequency-Modulated Continuous Wave(FMCW)radar echo signal, wavelet threshold denoising method is used for signal denoising. Principle of each parameter of the wavelet threshold denoising method is discussed in detail, and a new threshold function superior to the typical functions, such as soft threshold function, hard threshold function, the improved compromise between soft and hard threshold method and semi-soft threshold function, is constructed. The typical functions and the new threshold function are used to process the actual radar echo signals and the results show that denoising performance of the new threshold function is better than that of the typical functions.

  • 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2015年08期
  • 【分类号】TN957.51
  • 【网络出版时间】2014-03-13 09:43:00
  • 【被引频次】6
  • 【下载频次】129
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