Evaluation of the Influence of the Spatial Smoothing Procedure of the Correlation Matrix on the Efficiency of the 2D-MUSIC Method-Reference-Cited by-同舟云学术

Evaluation of the Influence of the Spatial Smoothing Procedure of the Correlation Matrix on the Efficiency of the 2D-MUSIC Method

Published:2023-12-17 Issue:1 Volume:18 Page:91-108
ISSN:1998-6920
Container-title:The Herald of the Siberian State University of Telecommunications and Information Science
language:
Short-container-title:jour

Author:

Fokin G. A.¹^ORCID,Grishin I. V.¹^ORCID

Affiliation:

1. The Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT)

Abstract

The occurrence of correlations between radio signals arriving at the antenna array of the base station reduces the effectiveness of subspace methods for positioning user devices in wireless communication networks. For the purpose of radiation sources decorrelation, a spatial smoothing algorithm can be applied dividing the base station antenna array into sub-arrays and then averaging the signal correlation matrices obtained for these sub-arrays. In this paper, we investigate the impact of various ways of dividing a flat equidistant antenna array into subarrays on the performance of the 2D-MUSIC multiple signal classification method in the scenario of ultra-dense networks operating in the FR2 band.

Publisher

Siberian State University of Telecommunications and Informatics

Reference16 articles.

1. Duong Trung Q. et al. Ultra-Dense Networks for 5G and Beyond: Modelling, Analysis, and Applications. 1st ed., Wiley, 2019.

2. Gross F.B. Smart antennas for wireless communications with MATLAB. McGraw Hills, 2005. 288 p.

3. Grigor'ev V. A., Shchesnyak S. S., Gulyushin V. L., Raspaev Yu. A., Lagutenko O. I., Shchesnyak A. S. Adaptivnye antennye reshetki. Chast' 1 [Adaptive antenna arrays. Part 1]. Saint Petersburg, ITMO University, 2016. 179 p.

4. Grigor'ev V. A., Shchesnyak S. S., Gulyushin V. L., Raspaev Yu. A., Khvorov I. A., Shchesnyak A. S. Adaptivnye antennye reshetki. Chast' 1 [Adaptive antenna arrays. Part 1]. Saint Petersburg, ITMO University, 2016. 118 p.

5. Fokin G. A. Modelirovanie sverkhplotnykh setei radiodostupa 5G s diagrammoobrazovaniem [Modeling of ultra-dense 5G radio access networks with beamforming]. T-Comm-Telekommunikatsii i Transport, 2021, vol. 15, no. 5, pp. 4-21.