一种联合DOA和多径时延估计的新算法:可分离维子空间法

J. Mao, B. Champagne, M. O'Droma, L. Ge
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引用次数: 1

摘要

随着无线通信系统容量需求的不断增长,利用天线阵列进行空分复用和空时处理作为一种提高系统性能,特别是减少多径效应的技术越来越受到人们的关注。提出了一种同时估计无线通信系统多径时延和到达方向的低复杂度、高精度算法。通过可分维相关处理,形成信号的时空子空间,将联合二维时延/DOA估计问题分解为两个较简单的一维估计问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new algorithm for joint DOA and multipath delay estimation: separable dimension subspace method
With the growing capacity demand in wireless communication systems, space division multiplexing and space-time processing by means of antenna arrays are becoming ever more attractive as a technology to improve system performance, especially for the reduction of multipath effects. This paper presents a new low complexity and high accuracy algorithm to estimate the multipath delays and direction of arrivals (DOAs) simultaneously in wireless communication systems. By using separable dimension correlation processing, the temporal and spatial signal subspaces are formed and the joint two dimensional delay/DOA estimation problem is separated into two simpler one dimensional estimations.
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期刊介绍: Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.
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