Exploration on 2D DOA estimation of linear array motion: Uniform linear motion

IF 3.1 3区 计算机科学 Q2 TELECOMMUNICATIONS
Jianhong Chu, Zhi Zhang, Yu Guo
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引用次数: 0

Abstract

Generally, due to the limitation of the dimension of the array aperture, linear arrays cannot achieve two-dimensional (2D) direction of arrival (DOA) estimation. But the emergence of array motion provides a chance for that. In this paper, a generalized motion scheme and a novel method of 2D DOA estimation are proposed by exploring the linear array motion. To be specific, the linear arrays are controlled to move along an arbitrary direction at a constant velocity and snap per fixed time delay. All the received signals are processed to synthesize the comprehensive observation vector for an extended 2D virtual aperture. Subsequently, since most of 2D DOA estimation methods are not universal to our proposed motion scheme and the reduced-dimensional (RD) method fails to handle the case of the coupled parameters, a decoupled reduced-complexity multiple signals classification (DRC MUSIC) algorithm is designed specifically. Simulation results demonstrate that: a) our proposed scheme can achieve underdetermined 2D DOA estimation just by the linear arrays; b) our designed DRC MUSIC algorithm has the good properties of high accuracy and low complexity; c) our proposed motion scheme with the DRC method has better universality in the motion direction.
线阵运动二维方位估计的探讨:均匀线阵运动
一般情况下,由于阵列孔径尺寸的限制,线性阵列无法实现二维到达方向(DOA)估计。但阵列运动的出现为这提供了一个机会。本文通过对线阵运动的研究,提出了一种广义运动方案和一种新的二维DOA估计方法。具体地说,控制线性阵列沿任意方向以恒定速度移动,并按固定的时间延迟进行snap。对接收到的所有信号进行处理,合成扩展二维虚拟孔径的综合观测向量。随后,由于大多数二维DOA估计方法对我们提出的运动方案不具有通用性,并且降维(RD)方法无法处理耦合参数的情况,因此专门设计了一种解耦的降复杂度多信号分类(DRC MUSIC)算法。仿真结果表明:a)该方法仅通过线性阵列即可实现欠定二维DOA估计;b) DRC MUSIC算法具有精度高、复杂度低的优点;c)采用DRC方法提出的运动方案在运动方向上具有较好的通用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
China Communications
China Communications 工程技术-电信学
CiteScore
8.00
自引率
12.20%
发文量
2868
审稿时长
8.6 months
期刊介绍: China Communications (ISSN 1673-5447) is an English-language monthly journal cosponsored by the China Institute of Communications (CIC) and IEEE Communications Society (IEEE ComSoc). It is aimed at readers in industry, universities, research and development organizations, and government agencies in the field of Information and Communications Technologies (ICTs) worldwide. The journal's main objective is to promote academic exchange in the ICTs sector and publish high-quality papers to contribute to the global ICTs industry. It provides instant access to the latest articles and papers, presenting leading-edge research achievements, tutorial overviews, and descriptions of significant practical applications of technology. China Communications has been indexed in SCIE (Science Citation Index-Expanded) since January 2007. Additionally, all articles have been available in the IEEE Xplore digital library since January 2013.
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