运动目标环境下的调频步进信号目标抽取算法

为了减少采样损失，调频步进信号的采样率通常高于chirp子脉冲的带宽。在这种过采样冗余情况下，需要对IFFT合成高分辨结果进行目标抽取去冗余方能得到高分辨一维距离像。然而当目标运动时，只标抽取的结果会产生目标丢失或伪峰等现象。该文提出了一种基于幅度最强像偏移量的动目标抽取算法，该方法利用幅度最强像的偏移量修正各采样点的目标抽取范围，从而解决了速度估计误差引起的速度-距离耦合对目标抽取算法的影响。计算机实验结果验证了理论分析的正确性。

Target’s Redundancy Removed Algorithm for Modulated Frequency Stepped Pulse Radar Signal Echoed by Moving Target

To reduce the loss of sampling, higher sampling frequency than bandwidth of chirp must be adopted for Modulated Frequency Stepped Pulse(MFSP) radar signal, which will bring on over-sampling result of pulse compression for chirp. So the pick-up algorithm for the MFSP radar signal must be adopted to eliminate target's redundancy in order to obtain fine HRRP(High-Resolution Range Profile). However, because of inaccuracy of the velocity compensation method, the velocity error of the moving target will produce velocity-range coupling error, even bring the influence of losing target or producing spurious peaks on the HRRP. This paper proposes a target's redundancy removed algorithm based on the offset of the most powerful scatterer, which can solve the velocity-range coupling problem effectively by modifying the pick-up scopes of all sampled points. Finally, the processing results of both simulated data and real radar data validate the correctness of theoretical analysis.