基于二阶循环统计量的直接盲MMSE均衡算法

Direct Blind MMSE Equalization Algorithm Based on Second-Order Cyclic Statistics

提出了一种基于二阶循环统计量的直接盲MMSE均衡算法。该算法利用接收信号的二阶循环平稳性,依据MMSE准则,不经过辨识直接均衡信道。由于利用了信号的周期循环平稳性,该算法可以实现非最小相位系统的盲均衡。仿真实验表明,与基于子空间的盲均衡算法和基于CMA的盲均衡算法相比较,该算法运算复杂度低、收敛速度快、且不会陷入局部最优点。此外,由于该算法不经过辨识直接均衡信道,所以受信道阶数误差的影响较小。

A new direct blind MMSE equalization algorithm based on second-order cyclic statistics is derived in this paper. According to MMSE criterion, the algorithm could use second-order cyclostationarity to equalize channel directly without identification. The comparisons with blind equalizations based on subspace method and CMA are shown through MATLAB simulations. Then it is found that the proposed algorithm has the advantages in low complexity, fast convergence and will not drop into local optimization. Besides these, the algorithm turns out to be more robust against channel order mismatch for the direct channel without identification.