Performance analysis of fourth order cumulant method in direction of arrival estimation

Author

Guner, Ahmet ; Ustundag, Mehmet

Author_Institution

Elektrik - Elektron. Muhendisligi Bolumu, Bingol Univ., Bingol, Turkey

fYear

2015

fDate

16-19 May 2015

Firstpage

1693

Lastpage

1696

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.

Keywords

computational complexity; direction-of-arrival estimation; higher order statistics; matrix algebra; signal classification; white noise; DOA estimation; MUSIC algorithm; colored noise; computational complexity reduction; direction-of-arrival estimation; fourth order cumulant matrices; fourth order cumulant method; multiple signal classification algorithm; performance analysis; signal source proximity; white noise; Direction-of-arrival estimation; Estimation; Multiple signal classification; Performance analysis; Reactive power; Signal processing algorithms; Signal to noise ratio; DOA estimation; MUSIC algorithm; downsized cumulant matrix; fourth order cumulant;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2015 23th

Conference_Location

Malatya

Type

conf

DOI

10.1109/SIU.2015.7130178

Filename

7130178