Robust subspace DOA estimation for wireless communications

Author

Visuri, Samuli ; Oja, Hannu ; Koivunen, Visa

Author_Institution

Lab. of Signal Process. & Comput. Technol., Helsinki Univ. of Technol., Espoo, Finland

Volume

3

fYear

2000

fDate

2000

Firstpage

2551

Abstract

This paper is concerned with array signal processing in non-Gaussian noise typical in urban and indoor radio channels. Robust and fully nonparametric high resolution algorithms for direction of arrival (DOA) estimation are presented. The algorithms are based on multivariate spatial sign and rank concepts. The performance of the algorithms is studied using simulations. The results show that almost optimal performance is obtained in wide variety of noise conditions

Keywords

array signal processing; covariance matrices; digital simulation; direction-of-arrival estimation; indoor radio; matrix decomposition; noise; nonparametric statistics; signal resolution; algorithms performance; array signal processing; direction of arrival estimation; eigendecomposition; indoor radio channels; multivariate spatial rank concept; multivariate spatial sign concept; noise conditions; non-Gaussian noise; nonparametric high resolution algorithms; nonparametric statistics; optimal performance; robust subspace DOA estimation; sample covariance matrix; signal model; simulation results; urban radio channels; wireless communications; Array signal processing; Covariance matrix; Direction of arrival estimation; Noise robustness; Sensor arrays; Signal processing algorithms; Signal resolution; Statistics; Wireless communication; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st

Conference_Location

Tokyo

ISSN

1090-3038

Print_ISBN

0-7803-5718-3

Type

conf

DOI

10.1109/VETECS.2000.851733

Filename

851733