DOA Estimation for Coherent Targets Based on TR MIMO Radar
Received date: 2017-09-23
Online published: 2025-05-29
针对MIMO(multi-inputmulti-output)雷达相干目标DOA(directionofarrival)估计问题,提出了一种基于Toeplitz矩阵重构的时间反转(timereversal,TR)MIMO雷达相干目标DOA估计算法。算法根据MIMO雷达接收信号模型,利用时间反转理论,建立TRMIMO雷达接收信号模型。在此模型的基础上,采用Toeplitz矩阵重构算法,去除目标的相干性,并基于一阶近似理论,利用优化迭代的方法进行DOA估计,进一步提高DOA估计的精度,并降低了计算复杂度。计算机仿真结果表明,在相同的快拍数与信噪比条件下,与传统的非时间反转MIMO雷达相比,文中的算法有更低的计算复杂度与更高的估计精度。
关键词: DOA 估计; TR MIMO雷达; Toeplitz 矩阵; 优化迭代方法; 一阶近似
刘梦波 , 胡国平 , 师俊朋 , 周豪 . 基于 TR MIMO雷达的相干目标 DOA 估计[J]. 弹箭与制导学报, 2018 , 38(6) : 109 -112,116 . DOI: 10.15892/j.cnki.djzdxb.2018.06.024
For coherent targets direction of arrival (DOA) estimation problem of MIMO radar, a DOA estimation algorithm for coherent targets of TR MIMO radar based on Toeplitz matrix method is proposed. Algorithm use TR theory according to the received signal model of MIMO radar to establish the received signal model of TR MIMO radar. Using Toeplitz matrix method based on the received signal model which removes the coherency of targets and utilizing an optimized iterative approach based on the first-order approximate theory that carries out DOA estimation further improve the estimation accuracy and reduce computation complexity. The results of computer simulation show that the proposed method has lower computation complexity and higher estimation accuracy compared with the conventional non-TR MIMO radar under the same snapshots and signal-to-noise ratio conditions.
| [1] | 蒋艳英, 欧阳缮, 晋良念, 等. 时间反转在UWB-MIMO 雷达中的应用[J]. 桂林电子科技大学学报, 2013, 33(3): 173-176. |
| [2] | 刘泽龙, 杨威, 苗楠楠, 等. 时间反转技术在LFMCW 雷达目标检测中的应用[J]. 太赫兹科学与电子信息学报, 2015, 13(3): 409-414. |
| [3] | 吴索路, 欧阳缮, 张海如. 基于时间反转的探地雷达多目标成像算法研究[J]. 微波学报, 2015, 31(5): 51-54. |
| [4] | 杨伏洲, 王海燕, 申晓红, 等. 基于时间反转的非均匀线列阵超指向性阵元分布模型[J]. 上海交通大学学报, 2013, 47(12): 1907-1910. |
| [5] | |
| [6] | |
| [7] | |
| [8] | |
| [9] | 杨明磊, 郭维娜, 杨倩, 等. 低复杂度MIMO 雷达波达方向的估计方法研究[J]. 空军预警学院学报, 2013, 27(3): 164-168. |
| [10] | 王艳苹, 张志斌, 陈娟, 等. MIMO 雷达DOA 估计方法分析[J]. 电子科技, 2010, 23(3): 76-80. |
| [11] | |
| [12] | |
| [13] | |
| [14] | |
| [15] | |
| [16] | |
| [17] |
/
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|
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