Sparse-representation algorithms for blind estimation of acoustic-multipath channels.
J Acoust Soc Am
; 133(4): 2191-7, 2013 Apr.
Article
em En
| MEDLINE
| ID: mdl-23556588
ABSTRACT
Acoustic channel estimation is an important problem in various applications. Unlike many existing channel estimation techniques that need known probe or training signals, this paper develops a blind multipath channel identification algorithm. The proposed approach is based on the single-input multiple-output model and exploits the sparse multichannel structure. Three sparse representation algorithms, namely, matching pursuit, orthogonal matching pursuit, and basis pursuit, are applied to the blind sparse identification problem. Compared with the classical least squares approach to blind multichannel estimation, the proposed scheme does not require that the channel order be exactly determined and it is robust to channel order selection. Moreover, the ill-conditioning induced by the large delay spread is overcome by the sparse constraint. Simulation results for deconvolution of both underwater and room acoustic channels confirm the effectiveness of the proposed approach.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Som
/
Acústica
/
Algoritmos
/
Processamento de Sinais Assistido por Computador
Tipo de estudo:
Clinical_trials
/
Prognostic_studies
Idioma:
En
Revista:
J Acoust Soc Am
Ano de publicação:
2013
Tipo de documento:
Article
País de afiliação:
Hong Kong