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A MSE optimized polynomial equalizer for 16QAM and 64QAM constellation - Springer

机译:针对16QAM和64QAM星座图的MSE优化多项式均衡器-Springer

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Recently, a Maximum Entropy (MaxEnt) algorithm and its derivation called WNEW algorithm were presented by the same author. It was shown that the MaxEnt and WNEW algorithm have improved equalization performance compared with Godard’s, reduced constellation algorithm and the sign reduced constellation algorithm. In this paper, a new equalization method is proposed for the 16QAM and 64QAM input constellation based on the WNEW algorithm which is extended with some polynomials of the equalized output and optimized with the mean square error criteria. According to simulation results, the new equalization method leads to over 15 dB advantage in the residual Intersymbol Interference compared to the results presented by Godard, 10 dB advantage compared with the WNEW algorithm and 5 dB advantage compared with the MaxEnt algorithm.
机译:最近,同一作者提出了最大熵(MaxEnt)算法及其推导方法WNEW算法。结果表明,与Godard相比,MaxEnt和WNEW算法具有更高的均衡性能,减少了星座算法和减少了符号星座算法。本文提出了一种基于WNEW算法的16QAM和64QAM输入星座均衡方法,该方法扩展了均衡输出的多项式,并用均方误差准则进行了优化。根据仿真结果,与Godard提出的结果相比,新的均衡方法在残留符号间干扰方面具有超过15dB的优势,与WNEW算法相比具有10dB的优势,与MaxEnt算法相比具有5dB的优势。

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