Title :
A New Beamforming Algorithm Based on Spherical Uncertainty Set
Author :
Wang, Jingkai ; Pan, Cunhai ; Li, Dongtao ; Zhao, Peng
Author_Institution :
Coll. of Mech. Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
Abstract :
In order to solve the problem of lacking robustness against the unknown array steering vector in minimum variance beamformer. A new beamforming algorithm based on spherical uncertainty set is proposed in this paper. In this paper, we investigate the robust beamforming with spherical constraint on steering vector further and provide a novel robust minimum variance beamforming (RMVB) algorithm. Compared with existing methods in this field, the new algorithm is efficient in computation and more numerical stable.
Keywords :
array signal processing; set theory; RMVB algorithm; array steering vector; robust minimum variance beamforming; spherical uncertainty set; Array signal processing; Covariance matrix; Educational institutions; Educational technology; Interference; Mechanical engineering; Robustness; Signal to noise ratio; Ubiquitous computing; Uncertainty; MVB; RMVB; spherical uncertainty set; steering vector error;
Conference_Titel :
Intelligent Ubiquitous Computing and Education, 2009 International Symposium on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3619-4
DOI :
10.1109/IUCE.2009.50
