Comparative analysis of methods for estimation of signals arrival direction
Abstract
Six methods are considered in the analysis of the methods for angular superresolution of the signals: non-adaptive beamforming, Kapon, thermal noise, Borgiotti-Lagunas, maximal entropy and multiple signal classification (MUSIC). The comparative characteristic of the methods with assessing their advantages, disadvantages and limitations is given. Theoretical resolution of these methods is assessed. The presented analysis and obtained research results make it possible to select the most effective method for determining the arrival of signals in accordance with the given parameters of signal-to-noise ratio under restrictions.References
Mobile and wireless communications Enablers for the 2020 Information. Society. EU FP7 ICT-317669-METIS //www.metis2020.com.
Hardouin, Eric. 5G: an operator’s perspective // Orange Labs. LTE World Summit. – 25 June 2013.
Авдєєнко, К.Л., Гепко, І.О., Корсак, В.Ф. Ключові принципи спільного доступу до радіочастотного ресурсу на ліцензійній основі (LSA) // Зв'язок. – 2015. – № 6. – С. 49 – 52.
Поповский, В.В. Эффективное использование всего физического пространства сигналов в мобильных телекоммуникационных системах / В.В. Поповский, Ю.А. Василенко // Межрегиональный форум МСЭ. Национальная комиссия, осуществляющая государственное регулирование в сфере связи и информатизации (НКРСИ), 11-13 сентября, Киев. : Тезисы докладов. – 2012.– С.42-45.
Classical and Modern Direction-of-Arrival Estimation Edited by:T. Engin Tuncer and Benjamin Friedlander / 2009 Elsevier Inc. Р.451.
Advances in Direction-of-Arrival Estimation / [edited by] Sathish Chandran. Library of Congress Cataloging-in-Publication Data. 2006. P.478.
Vahid Tarokh. New Directions in Wireless Communications Research Harvard University School of Engineering & Applied Sciences, 2009 Р.483.
Johnson, D.H., Miner G.E. Comparison of superresolution algorithms for radio direction finding // IEEE Trans. Aerospace and Electron. Syst. – 1986. – Vol.22, No.4. – Р.432-441.
Capon, J. High-resolution frequency-wavenumber spectrum analysis // Proc. IEEE. – 1969. – Vol.57, No.8. – Р.1408 – 1418.
Monzingo R.A. Adaptive antenna arrays: Introduction to the theory / R.A. Monzingo, T.W. Miller; Trans. from English. – M. : Radio and Communications, 1986. – 486 p.
Nickel, U. Angular superresolution with phased array radar: a review of algorithms and operational constraints // IEE Proc, Pt.F, – 1987. – Vol. 134, No.l. – p.53 – 59.
Gabriel, W.F. Spectral analysis and adaptive array superresolution technique // Proc IEEE. – 1980 – Vol.68, No.6. – Р.654 – 667.
Borgiotti, G.V., Kaplan, L.J. Superresolutions of uncorrelated interference sources by using adaptive array techniques // IEEE Trans. Antennas and Propag. – 1979. – Vol.27, No.6. – Р.842 – 845.
Lavate, T. B., Kokate, V. K., Sapkal, A. M. Performance Analysis of MUSIC and ESPRIT DOA Estimation Algorithms for Adaptive Array Smart Antenna in Mobile Communication // International Journal of Computer Netwoks (IJCN), vol. 2, iss. 3, 2010.
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