Open AccessAdaptation mode controller using multiple signal classification for GSC‐based beamforming
Author(s) -
Hong J.,
Park S.,
Jeong S.,
Hahn M.
Publication year - 2013
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2013.1587
Subject(s) - computer science , adaptation (eye) , speech recognition , mode (computer interface) , beamforming , signal (programming language) , hidden markov model , controller (irrigation) , pattern recognition (psychology) , filter (signal processing) , artificial intelligence , algorithm , telecommunications , computer vision , agronomy , physics , optics , biology , programming language , operating system
A new adaptation mode control method using the multiple signal classification (MUSIC) algorithm is proposed. The MUSIC algorithm is used to calculate the spatial spectral response to the direction of the target source with noisy inputs. Then, the statistical distribution of the MUSIC output is analysed and used to model the target signal presence probability. Using the probability, the filter adaptation mode of a multiple input canceller in a generalised sidelobe canceller is controlled. For performance evaluation, hidden Markov model‐based speech recognition rates are measured. The results show that the proposed algorithm notably outperforms other conventional adaptation mode controllers.