Group Gaussian approximation iterative detection for Turbo-BLAST
Baoming Bai · Journal of Xidian University · 2007
A low complexity group Gaussian approximation iterative detection for Turbo-BLAST is proposed.The proposed algorithm divides the transmitted signals into two groups.After assuming the superstition of the transmitted signals in one group in a Gaussian variable,the log-likelihood ratio of each bit in another group is calculated via maximum a posterior principle.The proposed algorithm can considerably decrease the receiver complexity.Furthermore,the performance of the new algorithm can also approach the optimal detection when the system has more receiver antennas than transmitter antennas.