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针对窄带雷达获取的多目标回波中微多普勒信息相互交叠、难以分离与提取的问题,提出了一种基于拍卖算法和小波分析相结合的多目标微多普勒分离方法。在滑动散射模型的基础上,首先通过对回波信号进行预处理得到时频骨架,再根据弹道目标多普勒的变化规律及估计的进动周期定义路径长度,利用拍卖算法提取出多条多普勒曲线对应的最短路径,最后采用小波分析法消除多普勒曲线中的剩余平动分量,实现了多目标微多普勒的分离。仿真结果表明,该方法能够较好地解决交叉区域的路径选择问题,且抗噪性较好,适用于多种微动形式。
Aiming at the problem that micro-Doppler information overlapped by narrow-band radar and difficult to separate and extract, a multi-target micro-Doppler separation method based on auction algorithm and wavelet analysis is proposed. Based on the sliding scattering model, the time-frequency skeleton is obtained by preprocessing the echo signals first, and then the path length is defined according to the variation law of the target Doppler and the precession period of the trajectory. Multiple auction results are obtained by using the auction algorithm Doppler curve corresponding to the shortest path, and finally using wavelet analysis to eliminate residual DFT components in the translation, to achieve multi-target micro-Doppler separation. The simulation results show that the proposed method can solve the problem of path selection in the cross area well and has better anti-noise performance and is suitable for many kinds of fretting.