Title :
A soft constrained generalized sidelobe canceller
Author :
Ye, Hao ; DeGroat, Ronald D.
Author_Institution :
Erik Jonsson Sch. of Eng. & Comput. Sci., Texas Univ., Richardson, TX, USA
Abstract :
An efficient new beamforming structure similar to a generalized sidelobe canceller is derived from the soft constrained minimum variance (SCMV) method of B. Van Veen (see IEEE Trans. Signal Processing, vol.SP-39, no.9, 1991). The new structure is closely related to the generalized sidelobe canceller and is a direct modification and simplification of Van Veen´s general algorithm. The main advantage of the new algorithm is that it greatly reduces the computational load of the SCMV method. Another advantage is that the new structure reveals a simple relationship between SCMV and linearly constrained minimum variance beamforming
Keywords :
signal processing; beamforming structure; generalized sidelobe canceller; linearly constrained minimum variance beamforming; signal processing; soft constrained minimum variance method; Adaptive algorithm; Array signal processing; Computer science; Direction of arrival estimation; Distortion; Instruments; Interference constraints; Power generation; Sensor arrays; Signal to noise ratio;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186446
