LS-CMA在MIMO-OFDM频域盲信源分离中的应用

The Blind Source Separation Algorithm Based on the LS-CMA in MIMO-OFDM Systems

源分离（SS）是MIMO系统接收的关键技术，而盲源分离（BSS）又是其中的一个研究热点。目前最小二乘常模（LS—CM）BSS算法都是针对频率非选择性衰落的时城MIMO信道。本文提出了LS—CMA在MIMO—OFDM系统频选信道频城盲源分离中的应用，计算机仿真表明，MIMO—OFDM系统频域盲信源分离的最小二乘常模算法能够获得很好的性能以及较快的收敛性。

Blind separation techniques for multiple-input multiple-output systems based on least-squares constant modulus algorithm （LS-CMA） have been investigated, but those techniques are suitable for non frequency-selective fading channels in MIMO systems. In this paper we extent the LS-CMA MIMO blind source separation algorithm, from non-frequencyselective fading channels to frequency-selective fading channels for MIMO-OFDM systems. Simulation results show that the proposed algorithm presents good performance and fast convergence in frequency-selective channels for MIMO-OFDM systems.