一种改进的信号子空间聚焦宽带DOA估计算法

doi:10.19678/j.issn.1000-3428.0060715

计算机工程 ›› 2022, Vol. 48 ›› Issue (1): 175-181. doi: 10.19678/j.issn.1000-3428.0060715

一种改进的信号子空间聚焦宽带DOA估计算法

贾思宇^1,2,3, 路茗^1,3, 丁华泽¹, 陈明⁴, 赵鲁阳¹

1. 中国科学院上海微系统与信息技术研究所无线传感网与通信重点实验室, 上海 200050;
2. 上海科技大学信息科学与技术学院, 上海 201210;
3. 中国科学院大学, 北京 100049;
4. 中国科学院无锡高新微纳传感网工程技术研发中心, 江苏无锡 214135

收稿日期:2021-01-27 修回日期:2021-03-11 发布日期:2021-03-22
作者简介:贾思宇(1997-),女,硕士研究生,主研方向为阵列信号处理;路茗,硕士研究生;丁华泽、陈明,工程师;赵鲁阳(通信作者),副研究员。
基金资助:
中国科学院重点部署项目“铁路复杂环境下的综合信息服务技术研究”（KFZD-SW-431）。

A Modified Wideband DOA Estimation Algorithm for Focusing Signal Subspace

JIA Siyu^1,2,3, LU Ming^1,3, DING Huaze¹, CHEN Ming⁴, ZHAO Luyang¹

1. Key Laboratory of Wireless Sensor Network and Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China;
2. School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. Wuxi Hi-Tech MicroNano SensingNet R&D Center of Chinese Academy of Science, Wuxi, Jiangsu 214135, China

Received:2021-01-27 Revised:2021-03-11 Published:2021-03-22

摘要/Abstract

摘要： 信号子空间聚焦（FSS）算法可实现宽带相干信号的波达方向（DOA）估计，但其在短快拍条件下存在估计精度差、分辨率低的问题。提出一种改进的信号子空间聚焦（MFSS）算法。根据波长间隔与阵元间距的匹配度选取最佳参考频点及子频带，通过Hankel矩阵奇异值分解重构子频带的协方差矩阵，并利用信号子空间聚焦法构造聚焦协方差矩阵，使用Root-正交传播算子实现DOA估计。实验结果表明，相比FSS、MTOPS、LR-MUSIC算法，MFSS算法复杂度较低，能够有效提高估计精度和速度。

关键词: 波达方向估计, 宽带信号, 相干信号, 信号子空间聚焦, Root-正交传播算子

Abstract: When performing Direction of Arrival (DOA) estimation for coherent wideband signals in the case of short snapshots, the Focusing Signal Subspace (FSS) algorithm is limited in the estimation accuracy and resolution.To address the problem, an improved FSS algorithm is proposed.The optimal reference frequency points and the sub-frequency bands are selected based on the matching degree of wavelength interval and array element spacing. The Hankel matrix singular value decomposition is used to reconstruct the sub-band covariance matrix.Then the focusing covariance matrix is constructed through focusing signal subspace.Finally, the DOA estimation is realized by using the Root-orthogonal propagator.Experimental results show that compared with FSS, MTOPS, and LR-MUSIC, the improved MFSS algorithm significantly reduces the computation complexity and improves the estimation accuracy and speed.

Key words: Direction of Arrival (DOA) estimation, wideband signal, coherent signal, Focusing Signal Subspace(FSS), Root-orthogonal propagator

中图分类号:

TN911.7

贾思宇, 路茗, 丁华泽, 陈明, 赵鲁阳. 一种改进的信号子空间聚焦宽带DOA估计算法[J]. 计算机工程, 2022, 48(1): 175-181.

JIA Siyu, LU Ming, DING Huaze, CHEN Ming, ZHAO Luyang. A Modified Wideband DOA Estimation Algorithm for Focusing Signal Subspace[J]. Computer Engineering, 2022, 48(1): 175-181.

http://www.ecice06.com/CN/Y2022/V48/I1/175

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[4]	刘庆华,周秀清. 稀疏互质阵列的迭代加权l1范数约束来波方向估计[J]. 计算机工程, 2017, 43(4): 110-115.
[5]	刁鸣,高璐,高洪元,冯平辉. 基于非均匀线阵的压缩感知波达方向估计[J]. 计算机工程, 2015, 41(10): 83-87.
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[8]	曾浩;张迎辉;杨士中. 基于SVD的二维子空间拟合DOA估计[J]. 计算机工程, 2010, 36(9): 288-290.
[9]	孙尚, 彭华. 基于分数延迟滤波器的宽带信号采样系统[J]. 计算机工程, 2010, 36(23): 95-97.
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