Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/7352
Título: Optimized Gauss and Cholesky algorithms for using the LMMSE decoder in MIMO/BLAST systems with frequency-selective channels - Reduced-complexity equalization
Autor: Silva, J. C.
Souto, N.
Cercas, F.
Rodrigues, A.
Dinis, Rui
Jesus, S. M.
Data: 2006
Editora: Institute for Systems and Technologies of Information, Control and Communication
Resumo: The LMMSE (Linear Minimum Mean Square Error) algorithm is one of the best linear receivers for DSCDMA (Direct Sequence-Code Division Multiple Access). However, for the case of MIMO/BLAST (Multiple Input, Multiple Output/Bell Laboratories Layered Space Time), the perceived complexity of the LMMSE receiver is taken as too big, and thus other types of receivers are employed, yielding worse results. In this paper, we investigate the complexity of the solution to the LMMSE and the Zero-Forcing (LMMSE without noise estimation) receiver's equations. It will be shown that the equation can be solved with optimized Gauss or Cholesky algorithms. Some of those solutions are very computationally efficient and thus, allow for the usage of the LMMSE in fully-loaded MIMO systems.
Peer review: yes
URI: http://hdl.handle.net/10400.1/7352
ISBN: 972-8865-65-1
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.