一种针对频率选择性MIMO信道的新型空时分层迭代检测算法

A new iterative detection algorithm for layered space-time receiver in frequency selective fading MIMO channels

本文针对FS-BLAST算法中的误码扩散问题提出了一种新的分层迭代方法:部分最大似然分层迭代(MLIC)算法。FS-BLAST由于采用了干扰对消的方案,不可避免的产生了误码扩散问题。在本文中,提出了一种新的部分最大似然分层迭代方案,它在分层迭代算法中引入最大似然的概念,是最大似然检测和分层迭代算法的折衷。从实验仿真中,可以看出,这种改进的算法比传统的FS-BLAST和已有的迭代算法具有更好的系统性能。

In this paper, we propose a new layered iterative method, partly maximum likelihood layered iterative cancellation, on FS-BLAST system, which can translate signals in parallel and simultaneously. The biggest shortcoming of FS-BLAST algorithm is the spread of error rate, which has not been solved perfectly so far. In this paper, we propose a new iterative algorithm： partly maximum likelihood layered iterative cancellation, which use ML （Maximum Likelihood） searching in layered iterative detection scheme. It is a tradeoff between ML searching and layered iterative scheme. In our simulation, we find that this new method can achieve better performance than traditional FS-BLAST and some improved algorithms, which use only iterative cancellation technique.