Title :
Nonparametric statistics for DOA estimation in the presence of multipath
Author :
Visuri, S. ; Oja, H. ; Koivunen, V.
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
This paper is concerned with array signal processing in nonGaussian noise and in the presence of multipath. 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. Spatial smoothing of the multivariate rank and sign based covariance matrices is employed as a preprocessing step in order to deal with coherent sources. The performance of the algorithms is studied using simulations. The results show that almost optimal performance is obtained in wide variety of different noise conditions
Keywords :
array signal processing; covariance matrices; direction-of-arrival estimation; multipath channels; noise; nonparametric statistics; signal resolution; smoothing methods; DOA estimation; algorithm performance; array signal processing; coherent sources; direction of arrival estimation; multipath; multivariate rank based covariance matrix; multivariate sign based covariance matrix; multivariate spatial rank; multivariate spatial sign; noise conditions; nonGaussian noise; nonparametric high resolution algorithms; nonparametric statistics; optimal performance; simulations; spatial smoothing; Array signal processing; Covariance matrix; Direction of arrival estimation; Gaussian noise; Maximum likelihood estimation; Noise robustness; Signal processing algorithms; Signal resolution; Spatial resolution; Statistics;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop. 2000. Proceedings of the 2000 IEEE
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-6339-6
DOI :
10.1109/SAM.2000.878029
