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基于灵活大规模天线阵的级联 AOA 估计算法。

Cascade AOA Estimation Algorithm Based on Flexible Massive Antenna Array.

机构信息

Department of Electronic Engineering, Chosun University, Gwangju 61452, Korea.

School of Electronic Engineering, Chosun University, Gwangju 61452, Korea.

出版信息

Sensors (Basel). 2020 Nov 28;20(23):6797. doi: 10.3390/s20236797.

Abstract

The Angle-of-Arrival (AOA) has a variety of applications in civilian and military wireless communication fields. Due to the rapid development of the location-based service (LBS) industry, the importance of the AOA estimation technique has increased. Although a large antenna array is necessary to estimate accurate AOA information of many signals, the computational complexity of conventional AOA estimation algorithms, such as Multiple Signal Classification (MUSIC), is dramatically increased. In this paper, we propose a cascade AOA estimation algorithm employing CAPON and Beamspace MUSIC, based on a flexible (on/off) antenna array. First, this approach roughly finds AOA groups, including several signal AOAs using CAPON, by applying some of the antenna elements. Then, it estimates each signal AOA in the estimated AOA groups using Beamspace MUSIC by applying the full size of the antenna array. In addition to extremely low computational complexity, the proposed algorithm also has similar estimation performance to that of MUSIC. In particular, the proposed cascade AOA estimation algorithm is highly efficient when employing a massive antenna array. Representative computer simulation examples are provided to illustrate the AOA estimation performance of the proposed technique.

摘要

到达角 (AOA) 在民用和军用无线通信领域有多种应用。由于基于位置的服务 (LBS) 行业的快速发展,AOA 估计技术的重要性日益增加。尽管需要大型天线阵来估计许多信号的精确 AOA 信息,但传统的 AOA 估计算法(如 MUSIC)的计算复杂度会显著增加。在本文中,我们提出了一种基于灵活(开/关)天线阵的级联 AOA 估计算法,该算法采用 CAPON 和 Beamspace MUSIC。首先,该方法通过应用一些天线元件,使用 CAPON 大致找到包括多个信号 AOA 的 AOA 组。然后,通过应用全尺寸天线阵,在估计的 AOA 组中使用 Beamspace MUSIC 估计每个信号的 AOA。除了极低的计算复杂度外,所提出的算法还具有与 MUSIC 相似的估计性能。特别是,当使用大规模天线阵时,所提出的级联 AOA 估计算法非常高效。提供了代表性的计算机仿真示例来说明所提出技术的 AOA 估计性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7510/7731429/20eaf49c0696/sensors-20-06797-g001.jpg

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