基于噪声子空间映射的二维波达角快速估计算法

doi:10.3969/j.issn.0372-2112.2015.02.011

电子学报 ›› 2015, Vol. 43 ›› Issue (2): 276-282.DOI: 10.3969/j.issn.0372-2112.2015.02.011

基于噪声子空间映射的二维波达角快速估计算法

王军, 闫锋刚, 金铭, 乔晓林

哈尔滨工业大学电子与信息工程学院, 黑龙江哈尔滨 150001

收稿日期:2013-12-16 修回日期:2014-07-03 出版日期:2015-02-25
- 通讯作者:
- 闫锋刚
- 作者简介:
- 王军 男,1976年8月出生,山东潍坊人.1998年和2006年分别在青岛大学和哈尔滨工业大学获工学学士和工学硕士学位.现为哈尔滨工业大学电子与信息工程学院博士研究生,哈尔滨工业大学(威海)信息与电气工程学院讲师.主要从事压缩感知雷达信号处理、极化信号处理、雷达抗干扰等方面的研究. E-mail:hitwangjun@126.com
- 基金资助:
- 山东省自然科学基金 (No.ZR2014FQ003)

Efficient Algorithm for 2-D DOA Estimation Based on Noise Subspace Mapping

WANG Jun, YAN Feng-gang, JIN Ming, QIAO Xiao-lin

School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China

Received:2013-12-16 Revised:2014-07-03 Online:2015-02-25 Published:2015-02-25
- Supported by:
- National Natural Science Foundation of Shandong Province, China (No.ZR2014FQ003)

摘要/Abstract

摘要：

为了降低二维MUSIC(Two Dimensional Multiple Signal Classification,2-D MUSIC)算法的计算量,提高算法的实时处理能力,基于噪声子空间映射思想提出了一种适用于任意平面阵列结构的二维波达角(Direction Of Arrival,DOA)快速估计算法.新算法利用空间角度划分及非线性变换将信号子空间与噪声子空间的正交性等价地压缩至某个角度分片内,使得真实DOA在该角度分片内产生虚拟镜像,通过搜索该角度分片得到虚拟DOA,最后利用数学式直接计算得到真实DOA.理论分析和实验结果表明新算法能够成倍地提高DOA估计的速度,同时具有比MUSIC算法更高的空间分辨率.

关键词: MUSIC, 二维DOA估计, 空间角度划分, 噪声子空间映射, 任意阵列结构

Abstract:

To reduce the computational complexity of the two dimensional Multiple Signal Classification (2-D MUSIC) algorithm and make it suitable for real-time applications,this paper presents a new computationally efficient method for 2-D direction-of-arrivals (DOA) estimation with arbitrary 2-D array configurations based on noise-subspace mapping.Exploring the idea of spatial angle dividing and non-linear transformation,the orthogonal relationship between the signal-subspaces and noise-subspaces is compressed to a small angular sector,leading to a series of virtual mirrors for each true DOA in a given sector.This allows fast estimation for the virtual DOAs by spectral search over only one sector,which further gives the value of the true DOAs since they are mathematically related.It is shown by theoretical analysis as well as experimental results that the new approach has a much lower computational complexity and an improved resolution as compared to the standard MUSIC.

Key words: multiple signal classification (MUSIC), two dimensional direction-of-arrival (2-D DOA) estimation, spatial angle dividing, noise-subspace mapping, arbitrary array structures

中图分类号:

TN959.2

王军, 闫锋刚, 金铭, 等. 基于噪声子空间映射的二维波达角快速估计算法[J]. 电子学报, 2015, 43(2): 276-282.

WANG Jun, YAN Feng-gang, JIN Ming, et al. Efficient Algorithm for 2-D DOA Estimation Based on Noise Subspace Mapping[J]. Acta Electronica Sinica, 2015, 43(2): 276-282.

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基于噪声子空间映射的二维波达角快速估计算法

Efficient Algorithm for 2-D DOA Estimation Based on Noise Subspace Mapping

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