Fast 2-D DOA Estimation Method in Transformed Domain with Arbitrary Arrays

YAN Feng-gang; JIN Ming; QIAO Xiao-lin

doi:10.3969/j.issn.0372-2112.2013.05.017

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Fast 2-D DOA Estimation Method in Transformed Domain with Arbitrary Arrays

更新时间：2025-07-16

- Fast 2-D DOA Estimation Method in Transformed Domain with Arbitrary Arrays
- Acta Electronica Sinica Vol. 41, Issue 5, Pages: 936-942(2013)
- 作者机构：
  
  1. 哈尔滨工业大学电子与信息工程学院,黑龙江,哈尔滨,150001
  2. 哈尔滨工业大学(威海)信息工程研究所,山东,威海,264209
  3. 哈尔滨工业大学电子与信息工程学院黑龙江哈尔滨,150001
  4. 哈尔滨工业大学(威海)信息工程研究所山东威海,264209
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2013.05.017
  CLC： TN959.2
- Published：2013
- 稿件说明：
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YAN Feng-gang, JIN Ming, QIAO Xiao-lin. Fast 2-D DOA Estimation Method in Transformed Domain with Arbitrary Arrays[J]. Acta Electronica Sinica, 2013, 41(5): 936-942.
DOI：

YAN Feng-gang, JIN Ming, QIAO Xiao-lin. Fast 2-D DOA Estimation Method in Transformed Domain with Arbitrary Arrays[J]. Acta Electronica Sinica, 2013, 41(5): 936-942. DOI： 10.3969/j.issn.0372-2112.2013.05.017.

摘要

MUSIC(Multiple Signal Classification)算法是波达角(the Direction of Arrival

DOA)估计的经典算法之一

但其在二维DOA估计中因需进行二维谱峰搜索而计算量十分巨大.为降低MUSIC算法的计算量

本文在引入变换域DOA概念的基础上提出了一种能够适用于任意阵列结构的二维DOA快速估计算法

即变换域MUSIC(transformed domain-MUSIC

TD-MUSIC)算法.理论分析和仿真实验表明:该算法不但将空间谱峰搜索的范围减小一半而且具有更低维度的噪声子空间

因而其计算量远小于 MUSIC算法.同时

新算法具有比MUSIC更高的空间分辨率.

Abstract

As one of the most popular techniques for direction-of-arrival(DOA)estimation

the multiple signal classification(MUSIC)algorithm has a tremendous computational complexity for 2-D DOA estimation problems

which is mainly caused by an involved 2-D spectral search step.To reduce the complexity

a new algorithm named the transformed domain MUSIC(TD-MUSIC)for fast 2-D DOA estimation with arbitrary arrays is presented by this work based on a new concept of the transformed domain DOA.It is shown by theoretical analysis and experiment results that TD-MUSIC not only realizes a compression for the spectral search region

but also has a dimension-reduced noise subspace and hence

it requires much lower complexity than the standard MUSIC.Moreover

the new method also shows an improved resolution as compared to MUSIC.

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Related Institution

Electronic Engineering Institute

Department of Electronic Engineering and Information Science, USTC

Electronic Engineering Institute Hefei Anhui China

Department of Electronic Engineering and Information Science USTC Hefei Anhui China

Deptartment of Electron,Engineering,Nanjing University of Sciene and Techical

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