【摘要】 给出了一种适用于Turbo-BLAST系统的低复杂度分组高斯近似迭代译码算法.该算法将各天线的发送信号分成两组,将其中一组信号的叠加看作干扰来检测另一组信号.为简化计算,利用随机交织的特点和中心极限定理,将干扰组的信号叠加近似为高斯分布随机变量,然后根据最大后验概率原则计算另一组信号的对数似然比.所提方法不仅可有效降低MIMO检测的计算复杂度,同时其性能也可逼近最优检测算法的性能.更多还原

【Abstract】 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.更多还原