A new semi-blind constant modulus equalization algorithm

Qing-Jia Chen, Qi-hui Wu, Jin-Long Wang
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引用次数: 1

Abstract

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.
一种新的半盲恒模均衡算法
为了提高最小二乘恒模均衡算法(LSCMA)的稳定性,结合递推最小二乘(RLS)和应用数学中的鲁棒估计(RE),提出了一种新的半盲恒模均衡算法SB-MRLS-LSCMA。仿真结果表明,与传统的LSCMA算法和其他几种半盲算法相比,该算法在收敛性能和均衡器稳定性方面都有提高。该算法能很好地抑制多径衰落和瑞利衰落。
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