Evaluation of the Influence of the Spatial Smoothing Procedure of the Correlation Matrix on the Efficiency of the 2D-MUSIC Method
https://doi.org/10.55648/1998-6920-2024-18-1-91-108
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.
About the Authors
G. A. Fokin
The Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT)
Russian Federation
Russian Federation
Grigoriy А. Fokin, Dr. of Sci. (Engineering), Professor of the Department of Radioreception and Broadcasting
193232, Saint-Petersburg, Bolshevikov Ave. 22
I. V. Grishin
The Bonch-Bruevich Saint Petersburg State University of Telecommunications (SPbSUT)
Russian Federation
Russian Federation
Ilya V. Grishin, Cand. of Sci. (Engineering), Associate Professor of the Department of Communication Networks and Data Transmission
193232, Saint-Petersburg, Bolshevikov Ave. 22
References
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.
6. Fokin G. A. Modeli diagrammoobrazovanija v sverhplotnyh setjah radiodostupa 5G. Chast' 1. Ocenka pomeh [Diagram formation models in ultra-dense 5G radio access networks. Part 1. Evaluation of interference]. Pervaja milja, 2021, no. 3 (95), pp. 66-73.
7. Fokin G. A. Modeli diagrammoobrazovanija v sverhplotnyh setjah radiodostupa 5G. Chast' 2. Ocenka raznosa ustrojstv [Diagram formation models in ultra-dense 5G radio access networks. Part 2. Evaluation of device spacing]. Pervaja milja, 2021, no. 4 (96), pp. 66-73.
8. Fokin G. A. Procedury vyravnivanija luchej ustrojstv 5G NR [Beam alignment procedures for 5G NR devices]. Jelektrosvjaz', 2022, no. 2, pp. 26-31.
9. Fokin G. A. Modeli upravlenija luchom v setjah 5G NR. Chast' 1. Vyravnivanie luchej pri ustanovlenii soedinenija [Beam Steering Models in 5G NR Networks. Part 1. Alignment of beams when establishing a connection]. Pervaja milja, 2022, no. 1 (101), pp. 42-49.
10. Fokin G. Modeli upravlenija luchom v setjah 5G NR. Chast' 2. Vyravnivanie luchej pri vede-nii radiosvjazi [Beam control models in 5G NR networks. Part 2. Alignment of beams in radio communications]. Pervaja milja, 2022, no. 3 (103), pp. 62-69.
11. Molchanov D. A. Razrabotka podhodov, metodov issledovanija i modelej obespechenija pokazatelej kachestva obsluzhivanija v besprovodnyh setjah pjatogo pokolenija [Development of approaches, research methods and models for ensuring quality of service indicators in wireless networks of the fifth generation]. Doctor’s degree dissertation, Saint Petersburg, 2020, 315 p.
12. Mnogoluchevoe rasprostranenie i parametrizacija ego harakteristik: rekomendacija MSJe-R P.1407-6 [Recommendation ITU-R P.1407-8: Multipath propagation and parameterization of its characteristics], available at: https://www.itu.int/dms_pubrec/itu-r/rec/p/R-REC-P.1407-8-202109-I!!PDF-R.pdf (accessed 12.07.2023).
13. Van Trees H. L. Optimum Array Processing: Part IV of Detection, Estimation, and Modulation Theory. Wiley, 2002.
14. Chen Zh., Gokeda G., Yu Y. Introduction to Direction-of-Arrival Estimation. Artech, 2010.
15. 3GPP TR 38.901 V16.1.0 Study on channel model for frequencies from 0.5 to 100 GHz. Release 16. Dec, 2019.
16. Ratynskij M. V. Adaptacija i sverhrazreshenie v antennyh reshjotkah [Adaptation and Super Resolution in Antenna Arrays]. Moscow, Radio i svjaz', 2003. 200 p.
Review
For citations:
Fokin G.A., Grishin I.V. Evaluation of the Influence of the Spatial Smoothing Procedure of the Correlation Matrix on the Efficiency of the 2D-MUSIC Method. The Herald of the Siberian State University of Telecommunications and Information Science. 2024;18(1):91-108. (In Russ.) https://doi.org/10.55648/1998-6920-2024-18-1-91-108
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