Title :
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
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;
Conference_Titel :
Vehicular Technology Conference Proceedings, 2000. VTC 2000-Spring Tokyo. 2000 IEEE 51st
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5718-3
DOI :
10.1109/VETECS.2000.851733
