MIMO系统中局域化最大似然信号检测算法

A Local ML Signal Detection Method for MIMO Systems

提出了一种MIMO系统中低复杂度的局域化最大似然信号检测算法,该方法通过调整信号有效搜索域大小,在计算复杂度与系统性能之间折衷。实验结果表明:该信号检测算法明显降低了高阶QAM调制的计算复杂度,在QPSK和16QAM调制时,当系统性能接近最大似然算法时计算量仅为其很小一部分。

This paper proposes a local maximum likelihood signal detection method for MIMO systems. The method performs the tradeoff between computational complexity and system performance by adjusting the neighborhood size. Simulation results show that the method can reduce the computational complexity greatly for the high rank QAM modulations. The performance can be comparable to that of the Maximum Likelihood（ML） detection while the complexity is even as the small fraction of ML with QPSK and 16QAM modulations.