MIMO系统中基于代价函数和排序模式的MMSE SIC检测器

针对多输入多输出空间多路复用系统，提出了一种基于代价函数和排序模式的多个并行分支的最小均方误差连续干扰消除检测器；具体而言，设计了选择规则来选择代价函数性能最好的分支，并通过利用不同的检测排序模式使得每个分支中的SIC算法按照信号干扰噪声比由高到低来检测信号，从而实现完全检测分集；为了进一步降低算法的计算复杂度，还提出了一种采用递归最小二乘算法的有效自适应接收机来更新滤波器权值向量，从而获得基于递归最小二乘算法的MB-SIC接收机的自适应实现；此外，还对提出的检测器在比特差错概率性能方面进行了分析；仿真结果表明，相比于现有的检测算法，提出的算法不仅具有较低的计算复杂度，而且能获得更好的误码率性能。

MMSE SIC Detector Based on Cost function and Ordering Mode

In this paper, a minimum mean square error successive interference cancellation(SIC) detector based on multiple parallel branches of cost function(CF) and ordering mode(OM) is proposed for multiple-input multiple-output space multiplexing system. Specifically, a selection rule is designed to select the branch with the best performance of the cost function, and the SIC algorithm in each branch can detect the signal according to the signal-to-interference-plus-noise ratio form high to low by using different detection ordering modes, so as to realize the full detection diversity. In order to further reduce the computational complexity of the algorithm, an effective adaptive receiver Sis proposed to update the filter weight vector using the recursive least squares algorithm. Simulation results show that,compared with the existing algorithms, the proposed algorithm not only has lower computational complexity, but also can obtain better bit error rate performance.