利用压缩感知的分布式高频地波雷达DOA估计  

Distributed high-frequency surface wave radar DOA estimation using compressed sensing

作　　者：王赞[1] 陈伯孝[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2014年第2期58-63,129,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61001209);海洋公益性行业科研专项资助项目(200905029);中央高校基本科研业务费专项资金资助项目(JY10000902010)

摘　　要：为了缓解高频地波雷达阵地大、选址难、角度分辨率低、机动性差等问题,提高雷达对目标的波达方向(DOA)的估计性能,引入分布式阵列天线技术和多输入多输出(MIMO)雷达体制,提出一种新的分布式高频地波雷达设计方案.在此方案的基础上,提出了基于压缩感知理论的DOA信息重构方法,解决了该雷达带来的DOA估计数据处理量大和分布式天线阵列引起角度模糊的问题,并利用离散逼近算法和近似QR分解方法,改善了压缩感知重构算法的DOA估计精度.仿真实验结果证明了所提方法的有效性.In order to solve the problems of ＂large position, difficulty with location chosen, low angle resolution, and poor flexibility＂, and to improve the performance of DOA estimation, a new design of the distributed high frequency surface wave radar is proposed, based on the technology of distributed antennas array and the MIMO radar system. With the new design, we propose a new DOA estimation method using compressed sensing, this method reduces the complexity of data processing and solves the angle ambiguity due to the distributed array. Discrete stochastic and semi-QR factorization is also used for improving the performance of the new DOA estimation. Theoretical analysis and simulation results show the validity of the proposed method.

关 键 词：分布式高频地波雷达 压缩感知 离散逼近 近似QR分解 

分 类 号：TN958.93[电子电信—信号与信息处理]