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A new semi-blind constant modulus equalization algorithm

机译:一种新的半盲恒模均衡算法

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摘要

For the sake of enhancing stability of least squares constrant modulus equalization algorithm( LSCMA), combining recursive least-squares (RLS) and using robust estimation (RE) from Application Maths, the paper puts forward an new sort of semi-blind constant modulus equalization algorithm that names SB-MRLS-LSCMA.The simulation indicates that the algorithm improves the performance of convergence and stability of the equalizer comparing to traditional LSCMA and several other semi-blind algorithm. And the algorithm can be good for restraining multi-pathway and Rayleigh fading.
机译:为了提高最小二乘常数模均衡算法(LSCMA)的稳定性,结合递推最小二乘(RLS)并利用Application Maths的鲁棒估计(RE),提出了一种新型的半盲恒模均衡仿真表明,与传统的LSMCA和其他几种半盲算法相比,该算法提高了均衡器的收敛性能和稳定性。该算法对于抑制多径和瑞利衰落具有良好的效果。

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