基于SP子空间跟踪的修正的MMSE多用户检测方法

分析比较了多种子空间跟踪算法.复杂度高的特征值分解和奇异值分解不利于工程实现,而低复杂度的PASTd应用于多用户检测导致收敛速度慢并且检测性能差.介绍了SP子空间跟踪算法,利用SP算法跟踪信号子空间求得解调向量,设计了修正的MMSE检测器.与SVDMUD和PASTd MUD两种算法相比,仿真结果显示SP MUD算法收敛速度快,输出信噪比和误码率性能接近SVD MUD算法,并保持了较低的计算复杂度,是一种较好的实现方案.

A Modified MMSE Multiuser Detection Algorithm Based on SP Subspace Tracking

Several algorithms of subspace tracking are analyzed.Eigenvalue decomposition and singular value decomposition with high computation complexity are not adaptable to engineering practice,while the multiuser detection implemented by PASTd with less computation complexity provides low convergence rate and detectability.Introduces the SP algorithm and utilizes it to track the signal subspace so as to obtain a demodulating vector.A modified MMSE detector was thus designed.To compare it with the performance of PASTd MUD and SP MUD,a simulation test was conducted and the results showed that the SP MUD algorithm with less computation complexity has faster convergence rate and provides the output SINR/bit error rate(BER) similar to SVD MUD.