[1]刁弘扬,胡洲勇,禹永植.一种改进广义正交匹配追踪的DOA估计方法[J].应用科技,2020,47(4):54-58.[doi:10.11991/yykj.201910006]
　DIAO Hongyang,HU Zhouyong,YU Yongzhi.An improved generalized orthogonal matching pursuit method used in the direction of arrival estimation[J].Applied science and technology,2020,47(4):54-58.[doi:10.11991/yykj.201910006]
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一种改进广义正交匹配追踪的DOA估计方法(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第47卷
期数:
2020年4期
页码:
54-58
栏目:
现代电子技术
出版日期:
2020-07-05

文章信息/Info

Title:
An improved generalized orthogonal matching pursuit method used in the direction of arrival estimation
作者:
刁弘扬1;  胡洲勇2;  禹永植1
1. 哈尔滨工程大学 信息与通信工程学院，黑龙江 哈尔滨 150001;
2. 北京遥感设备研究所，北京 100854
Author(s):
DIAO Hongyang1;  HU Zhouyong2;  YU Yongzhi1
1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China;
2. Beijing Institute of Remote Sensing Equipment, Beijing 100854, China
关键词:
DOA估计; 阵列信号处理; 压缩感知; 贪婪算法; 稀疏表示; 广义正交匹配追踪; 最速下降法; 最小二乘法
Keywords:
DOA estimation; array signal processing; compressed sensing; greedy algorithm; sparse representation; generalized orthogonal matching pursuit; steepest descent method; least square method
分类号:
TN911.7
DOI:
10.11991/yykj.201910006
文献标志码:
A
摘要:
针对传统匹配追踪算法的波达方向(direction of arrival, DOA) 估计方法精度不高、收敛速度较慢等问题，提出一种改进广义正交匹配追踪(generalized orthogonal matching pursuit, GOMP)算法的DOA估计方法。通过空间网格划分建立DOA估计模型，在此模型基础上引入GOMP算法对接收到的信号进行重构，然后在原有GOMP算法基础上引入最速下降法，提出一种改进GOMP算法用于DOA估计中。与GOMP算法相比，改进算法使用运算简单的最速下降法进行信号重构，降低了重构算法的复杂度。仿真结果表明：改进算法成功地得到了DOA估计值，相对于传统OMP算法，改进算法具有更高的DOA估计精度，有效地减少了重构耗时，具有更高的估计性能。
Abstract:
To solve the problems of low accuracy and slow convergence rate of the DOA (direction of arrival) estimation based on traditional matching pursuit method, we propose a DOA estimation method based on improved generalized orthogonal matching pursuit (GOMP) algorithm. Firstly, a DOA estimation model is established by spatial gridding. Secondly, the GOMP algorithm is introduced to reconstruct the received signal based on this model. Specifically, the steepest descent method based on the original GOMP algorithm is introduced, and the improved GOMP algorithm is used in the DOA estimation method. Compared with the GOMP algorithm, the improved algorithm employs the steepest descent method with simple operation to perform signal reconstruction, reduces complexity of the reconstruction algorithm. The simulation results demonstrate that the improved algorithm has successfully obtained the DOA estimation value. Compared with the traditional OMP algorithm, the improved algorithm can obtain higher DOA estimation accuracy, which effectively reduces the reconstruction time and has higher estimation performance.

参考文献/References:

[1] 汤永涛, 林鸿生, 陈春. 现代导弹导引头发展综述[J]. 制导与引信, 2014(1): 12–17
[2] 王永良, 陈辉, 彭应宁. 空间谱估计理论与算法[M]. 北京: 清华大学出版社, 2004.
[3] 张小飞. 阵列信号处理的理论与应用[M]. 北京: 国防工业出版社, 2013.
[4] SCHMIUDT R. Multiple emitter location and signal parameter estimation[J]. IEEE transactions on antennas and propagation, 1986, 34(3): 276–280.
[5] ROY R, KAILATH T. ESPRIT-estimation of signal parameters via rotational invariance techniques[J]. IEEE transactions on acoustics speech and signal processing, 1989, 37(7): 984–995.
[6] JIANG Guojun, MAO Xingpeng, LIU Yongtan. Reducing errors for root-MUSIC-based methods in uniform circular arrays[J]. IET signal processing, 2018, 12(1): 31–36.
[7] LIU Lutao, LIU Huan. Joint estimation of DOA and TDOA of multiple renections in mobile communications[J]. IEEE access, 2016, 4: 3815–3823.
[8] YAN Fenggang, LIU Shuai, WANG Jun. Real-valued root-MUSIC for DOA estimation with reduced-dimension EVD/SVD computation[J]. Signal processing, 2018, 152: 1–12.
[9] DONOBO D L. Compressed sensing[J]. IEEE transactions on information theory, 2006, 52(4): 1289–1306.
[10] WEI Jingbo, HUANG Yukun, KE Lu. Nonlocal low-rank-based compressed sensing for remote sensing image reconstruction[J]. IEEE geoscience and remote sensing letters, 2017, 13(10): 1557–1561.
[11] 冯俊杰, 张弓, 文方青. 基于SL0范数的改进稀疏信号重构算法[J]. 数据采集与处理, 2016, 31(1): 178–183
[12] 单泽涛, 刘小松, 单泽彪, 等. 基于改进平滑l0范数的DOA估计算法[J]. 吉林大学学报(信息科学版), 2017(6): 22–26
[13] MALIOUTOV D, CETIN M, WILLSKY A S. A sparse signal reconstruction perspective for source localization with sensor arrays[J]. IEEE transactions on signal processing, 2005, 53(8): 3010–3022.
[14] 燕学智, 温艳鑫, 刘国红. 基于稀疏表示和近似l0范数约束的宽带信号DOA估计[J]. 航空学报, 2017(6): 221–228
[15] 刘晓, 吴明儿, 张华振. 基于最速下降法的可展开索网天线型面调整方法[J]. 中国空间科学技术, 2018, 38(3): 1–7
[16] TROPP J A, GILBERT A C. Signal recovery from random measurements via orthogonal matching pursuit[J]. IEEE transactions on information theory, 2007, 53(12): 4655–4666.
[17] NEEDELL D, VERSKYNIN R. Signal recovery from incomplete and inaccurate measurements via regularized orthogonal matching pursuit[J]. IEEE journal of selected topics in signal processing, 2010, 4(2): 310–316.
[18] 蔡盛盛, 张佳维, 冯大航. 改进正则化正交匹配追踪波达方向估计方法[J]. 声学学报, 2014(1): 39–45
[19] 王军, 孔令斌, 赵洁. 基于压缩感知的OMP改进重构算法[J]. 光通信研究, 2016(1): 74–78
[20] DEHGHANI M, AGHABABAIYAN K. FOMP algorithm for direction of arrival estimation[J]. Physical communication, 2018, 26: 170–174.

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备注/Memo

备注/Memo:
收稿日期:2019-10-21。
基金项目:国家自然科学基金项目(61571146)
作者简介:刁弘扬，男，硕士研究生;禹永植，男，讲师，博士
通讯作者:刁弘扬，E-mail：1528969010@qq.com
更新日期/Last Update: 2020-11-27