基于小波域KL 变换,对外辐射源雷达杂波抑制算法进行了研究。针对雷达记录中,传统KL 变换滤波在整个时间轴上不相关,对某时间段部分细节缺乏分析。在记录雷达数据时,以KL 变换为基础改善的算法———wavelet 域名“KL 转换方法”将被提案,改进后的算法完全可以过滤随机噪音和水平波,突出了有效波。通过理论数据及实测数据处理,发现KL 变换滤波算法能对直达波和杂波进行有效抑制,且抑制性能优于LMS 算法。与LMS 算法相比,KL 变换滤波算法具备较小失调误差及较快收敛速度。在进行复杂度的计算时,KL 变换滤波算法计算量要远低于LMS 算法。

In this paper, the clutter suppression algorithm of external emitter radar is studied based on KL transform in wavelet domain. In radar records, the traditional KL transform filter is uncorrelated in the whole time axis and lacks analysis of some details in a certain period of time. When recording radar data, an improved algorithm based on KL transform, wavelet domain name “KL conversion method”, will be proposed. The improved algorithm can completely filter random noise and horizontal wave, highlighting the effective wave. Through theoretical data and measured data processing, KL transform filtering algorithm can effectively suppress direct wave and clutter, and the suppression performance is better than LMS algorithm. Compared with LMS algorithm, KL transform filtering algorithm has smaller misalignment error and faster convergence speed. In the calculation of complexity, KL algorithm is much less than LMS algorithm.

TN958

国家自然科学基金资助项目(61703127)