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基于改进CS的随机PRI雷达精确测速及杂波抑制算法
引用本文:刘振,魏玺章,黎湘,廖东平. 基于改进CS的随机PRI雷达精确测速及杂波抑制算法[J]. 国防科技大学学报, 2013, 35(3): 114-118
作者姓名:刘振  魏玺章  黎湘  廖东平
作者单位:国防科技大学 电子科学与工程学院, 湖南 长沙 410073,国防科技大学 电子科学与工程学院, 湖南 长沙 410073,国防科技大学 电子科学与工程学院, 湖南 长沙 410073,国防科技大学 电子科学与工程学院, 湖南 长沙 410073
基金项目:国家自然科学基金资助项目(61171133);湖南省研究生创新基金资助项目(CX2011B019),国防科技大学优秀研究生创新资助项目(B110404)
摘    要: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。

关 键 词:随机脉冲重复间隔  精确测速  杂波抑制  压缩感知
收稿时间:2012-06-16

Precise Velocity Measurement and Clutter Suppression in Random Pulse Repetition Interval Radar Based on Improved Compressed Sensing
LIU Zhen,WEI Xizhang,LI Xiang and LIAO Dongping. Precise Velocity Measurement and Clutter Suppression in Random Pulse Repetition Interval Radar Based on Improved Compressed Sensing[J]. Journal of National University of Defense Technology, 2013, 35(3): 114-118
Authors:LIU Zhen  WEI Xizhang  LI Xiang  LIAO Dongping
Affiliation:College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
Abstract: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.
Keywords:random pulse repetition interval   precise velocity measurement   clutter suppression   compressed sensing
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