【作者】 贾利琴； 汪晋宽； 田丹；

【Author】 Jia Liqin Wang Jinkuan Tian Dan (School of Information Science and Engineering, Northeastern University, Shenyang 110004, China)

【机构】 东北大学信息科学与工程学院；

【摘要】 提出了一种新的基于子空间跟踪(SP)的自适应多用户检测算法。不需计算初始矩阵,并且检测性能接近高复杂度的经典算法。利用SP算法跟踪的信号子空间求得解调向量,修正了MMSE检测器。将其与SVD MUD、PASTd MUD两种算法进行了分析和比较,结果显示SP算法收敛速度快,稳态效果较好,计算复杂度低,具有一定的实用价值。更多还原

【Abstract】 A new adaptive multi-user detector based on subspace tracking(SP)was proposed,which doesn’t need initial matrix and has similar performance as classic algorithm with large computational complexity. A demodulating vector with signal subspace estimation is achieved by SP,which modifies the MMSE detector. Compared with the performances of PASTd MUD and SP MUD,the results show that SP has faster convergence rates and better steady-state performance,and is practical for its lower computational complexity.更多还原