Title :
Low-Complexity Algorithm for Near-Optimum Detection of V-BLAST Systems
Author :
Li, Jiandong ; Cao, Fei F. ; Yang, Jiawei
Author_Institution :
Xidian Univ., Xi´´an
Abstract :
For the Vertical Bell Laboratories Layered Space-Time systems, the optimum a posteriori probability detector encounters the problem of calculating Gaussian mixtures with large numbers of components. In this letter, a new detector is proposed, which consists of an minimum-mean-square-error generalized decision feedback equalization-based dominant symbol combinations selection algorithm for mixture components reduction, and a Cholesky factorization-based efficient algorithm for likelihood function calculation. The new detector can obtain near optimum performance with a complexity much lower than that of a previous sequential algorithm with Gaussian approximation.
Keywords :
decision feedback equalisers; least mean squares methods; probability; signal detection; Cholesky factorization; Gaussian approximation; Gaussian mixtures; V-BLAST systems; Vertical Bell Laboratories Layered Space-Time systems; decision feedback equalization; dominant symbol combinations selection algorithm; likelihood function calculation; low-complexity algorithm; minimum-mean-square-error; near-optimum detection; probability detector; Approximation algorithms; Decision feedback equalizers; Detectors; Gaussian approximation; Maximum likelihood decoding; Maximum likelihood detection; Probability; Receiving antennas; Signal to noise ratio; Transmitting antennas; MMSE-GDFE; Mixture components reduction; V-BLAST;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2007.896153
