经典Mallat小波模极大值降噪法因其程序复杂度高、计算量大难以满足宽带雷达信号处理的性能要求。在模极大值降噪算法的基本思想上,提出基于“路径冶的模极大值降噪算法,并利用改进的自适应阀值估计对模极大值序列进行预处理及利用分段多项式插值对模极大值序列进行快速重构。选用LFM信号为宽带雷达发射信号,对目标回波高分辨率像进行模极大值降噪处理。Maltab仿真结果表明,改进后的模极大值降噪算法具有良好的去噪性能,有效提高宽带雷达回波信号的信噪比,且能保留目标大部分特征信息。

Classic Mallat wavelet modulus maxima denoising method is difficult to meet the performance requirements for wideband radar signal processing because of its high degree of complexity of the procedure and the large amount of calculation. An improved modulus maxima denoising algorithm based on “path”is proposed according to the basic principles of classic WTMM, which includes adaptive threshold estimation and piecewise polynomial interpolation. Choosed LFM signal for wideband radar transmitter signal, the high-resolution image (HRRP) of a broadband radar target is denoised with the improved modulus maxima denoising method. Matlab simulation results showed that the improved modulus maxima denoising algorithm turns in a good performance of signal denoising, with which the SNR of broadband radar echos can be increased effectively and the most of target feature information can be retained.

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