Performance analysis of fourth order cumulant method in direction of arrival estimation [Dördüncü Dereceden Logaritmik Moment Metodunun Variş Yönü Kestiriminde Performans Analizi]

dc.contributor.author	Guner, A. and Ustundag, M.
dc.date.accessioned	2021-04-08T12:09:10Z
dc.date.available	2021-04-08T12:09:10Z
dc.date.issued	2015
dc.identifier	10.1109/SIU.2015.7130178
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84939201795&doi=10.1109%2fSIU.2015.7130178&partnerID=40&md5=0017fc7f86185f04b3afa7a5814f3102
dc.identifier.uri	http://acikerisim.bingol.edu.tr/handle/20.500.12898/4769
dc.description.abstract	Multiple Signal Classification (MUSIC) algorithm is a well-known method in direction of arrival (DOA) estimation for having high resolution capability and therefore it's statistical performance have been investigated for different situations. One of them is the proximity of signal sources and under the condition of the colored noise. In this paper, DOA estimation is analyzed with presence of the white noise and the colored noise. In DOA estimation, the advantages of using fourth order cumulants of the signal are showed by the simulation results. Different downsized fourth order cumulant matrices are presented in order to reduce computational complexity of the cumulant. © 2015 IEEE.
dc.language.iso	Turkish
dc.source	2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
dc.title	Performance analysis of fourth order cumulant method in direction of arrival estimation [Dördüncü Dereceden Logaritmik Moment Metodunun Variş Yönü Kestiriminde Performans Analizi]

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