基于改进CS的随机PRI雷达精确测速及杂波抑制算法

Precise velocity measurement and clutter suppression in random pulse repetition interval radar based on improved compressed sensing

传统的脉冲多普勒雷达存在严重的测距测速模糊和盲区效应。考虑在正常脉冲重复间隔(PRI)上叠加一个随机扰动,并把PRI的随机变化巧妙转化为稀疏观测矩阵的受限等距性质,提出的基于压缩感知的随机脉冲重复间隔雷达为全相参动目标检测提供了一种新思路。针对其在实际应用中存在的粗糙损失和杂波干扰两个问题,分别提出了基于局部词典细化的精确测速算法和基于改进优化模型的杂波抑制方法。仿真实验结果表明该方案具有较高的测速精度和较强的杂波抑制性能。

Blind zones and ambiguities in range and velocity measurement are two important issues in the traditional pulse-Doppler radar.By generating random deviations with respect to a mean pulse repetition interval（PRI）,which is converted to the restricted isometry property of the observing matrix,the proposed random PRI radar,based on the compressed sensing theory,provides a new way for moving target detection.In order to solve the problems of ＇straddling loss＇ and clutter perturbation,a precise velocity measurement by local dictionary fractionization is proposed according to the iterative idea and the clutter is suppressed by modifying the optimization problem of CS.The simulation results demonstrate that this scheme has high performance of velocity measurement and clutter suppression.