由于小波变换是一种局部细化分析,它能对短时信号做比较精细的分析,在高分辨、超宽带雷达信号处理方面具有广泛的应用前景。在频率步进雷达一维距离成像技术中,经典的傅里叶变换算法受到距离分辨率的限制,并且存在较高的副瓣电平。针对这一问题,本文提出将连续小波变换算法用于频率步进雷达的一维距离成像。该方法在保持高距离分辨率的同时,可有效降低回波信号的副瓣电平。 Because wavelet transform is a kind of local refinement analysis, it can make a comparatively detailed analysis of short-time signals and has a wide range of application prospects in high-resolution, ultra-wideband radar signal processing. In the frequency stepping radar one-dimensional distance imaging technology, the classical Fourier transform algorithm is limited by the distance resolution, and there is a high sidelobe level. In response to this problem, this paper proposes a continuous wavelet transform algorithm for one-dimensional range imaging of frequency stepping radar. The method can effectively reduce the sidelobe level of the echo signal while maintaining high-range resolution.