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A new algorithm for joint DOA and multipath delay estimation: separable dimension subspace method

机译:联合DOA和多径延迟估计的新算法:可分维子空间方法

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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.
机译:随着无线通信系统中容量需求的增长,借助于天线阵列的空分复用和空时处理作为一种改善系统性能,尤其是减少多径效应的技术变得越来越有吸引力。本文提出了一种新的低复杂度和高精度算法,可以同时估计无线通信系统中的多径延迟和到达方向(DOA)。通过使用可分离的维数相关处理,形成了时间和空间信号子空间,并将联合的二维延迟/ DOA估计问题分为两个更简单的一维估计。

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