蒋莹¹,
王冰切¹,
韩俊¹,
何翼^2,,
1.空军预警学院 ??武汉 ??430000
2.海军研究院 ??北京 ??100161
基金项目:国家自然科学基金(61771484)，湖北省自然科学基金(2016CFB288)

详细信息

作者简介:蒋莹：女，1991年生，博士生，研究方向为电子对抗信息处理
王冰切：男，1972年生，副教授，硕士生导师，研究方向为雷达系统与雷达对抗
韩俊：男，1983年生，讲师，研究方向为雷达对抗
何翼：男，1989年生，助理研究员，研究方向为视频图像处理及模式识别与人工智能

通讯作者:何翼　jty614@163.com

中图分类号:TN971

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被引次数:0

出版历程

收稿日期:2018-07-18
修回日期:2019-01-11
网络出版日期:2019-01-22
刊出日期:2019-07-01

Underdetermined Wideband DOA Estimation Based on Distributed Compressive Sensing

Ying JIANG¹,
Bingqie WANG¹,
Jun HAN¹,
Yi HE^2,,
1. Air Force Early Warning Academy, Wuhan 430000, China
2. Naval Research Academy, Beijing 100161, China
Funds:The National Natural Science Foundation of China(61771484), The Natural Science Foundation of Hubei Province (2016CFB288)


摘要
摘要:为解决基于稀疏阵列的宽带欠定信号到达角(DOA)估计问题，该文提出基于分布式压缩感知(DCS)的宽带DOA估计算法。首先，对稀疏阵列宽带信号处理模型进行理论推导与分析，将宽带信号DOA估计建模成DCS问题；其次，利用经典DCS算法实现稀疏阵列上的宽带欠定信号DOA估计；最后，引入网格失配误差，建立包含网格失配参数的DCS模型，并进行迭代求解，实现对DOA和网格失配参数的联合估计。仿真结果表明，该算法能够实现宽带欠定信号DOA估计，较现有成果而言，在保证测向精度的同时，具备分辨率高、运算速度快的优点。
关键词:到达角估计/
分布式压缩感知/
稀疏阵列/
联合稀疏/
网格失配
Abstract:In order to realize underdetermined wideband Direction Of Arrival(DOA) estimation based on sparse array, an algorithm on account of Distributed Compressive Sensing(DCS) is proposed. Firstly, wideband signal processing model based on sparse array is deduced and the underdetermined wideband DOA estimation is formulated as a DCS problem. Then, the DCS-Simultaneous Orthogonal Matching Pursuit(DCS-SOMP) algorithm is utilized to solve this problem. Finally, the off-grid problem is considered and a joint DCS model containing off-grid parameters is established. Estimations of DOAs and off-grid parameters are achieved through iterative solution. Simulation results show that the proposed algorithm is effective and have advantages in resolution and computational complexity.
Key words:Direction Of Arrival(DOA) estimation/
Distributed Compressive Sensing(DCS)/
Sparse array/
Joint sparsity/
Off-grid problem



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