基于压缩感知的自旋目标平动速度及周期估计算法

Translational Velocity and Cycle Estimation of Spin Target Based on Compressed Sensing

给出一种新的利用压缩感知来估计自旋目标周期及平动速度的算法。该算法的基本原理是雷达在随机的时刻序列发射脉冲信号,采集匹配滤波后的信号值,通过对信号值加滑动窗,利用加窗压缩感知的方法提取出目标的微多普勒时频谱,再次利用压缩感知算法提取出目标的旋转周期,进而提取出目标的残余平动速度,具有很高的应用价值。

Proposes a novel method based on CS theory to estimate the translational velocity and cycle of spin target. Transmits a pulse train with the random and sparse transmitting time and obtains the received signals after matched filtering. The signal is multiplied by a sliding win-dow and the unambiguous micro-Doppler time-frequency spectrum can be obtained based on the sliding window compressive sensing. By the compressed sensing, estimates the circle and translational velocity of spin target. This method has very high practical value.