基于新的数据选择方案下的盲空时多用户检测

BLIND SPACE-TIME MULTIUSER DETECTION BASED ON NEW DATA-SELECTION SCHEMES

该文首先在码片匹配滤波的基础上提出4种数据选择方案,分析了各种数据方案对多址干扰与字符间干扰的影响;接着提出了基于Rosen梯度投影实现的最小均方和最小二乘两种盲空时多用户检测方法,并分析了4种数据选择方案对这两种检测方法运算复杂度的影响;最后通过仿真实验结果的分析比较给出较合理的实现方法,该方法在运算量、收敛速度和性能上具有一定的优势,因而更加具有实用意义。

This paper presents four data-selection schemes based on chip-matched filter for the multiuser receiver in multipath CDMA channels, and studies the impacts of these schemes on Multiple-Access Interference (MAI) and Inter-Symbol Interference (ISI). Then, it presents the Least Mean-Square (LMS) and Least-Square (LS) blind space-time multiuser detection methods both based on the Rosen's gradient projection, and analyzes the effects of these schemes on the computational complexity of the two detection methods. Finally, a reasonable and realizable method is provided by analyzing the results of the simulations, and this method has the advantages of lowering the computational complexity, accelerating the speed of convergence and improving the detection performance, therefore it is interesting for application.