A Generalization of the Enhanced Decision Adjusted Modulus Algorithm for Blind Equalization of Constellations with Closely Positioned Circles

Deniss Kolosovs
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引用次数: 3

Abstract

The work is devoted to the problems of blind equalization in quadrature amplitude modulation systems. The disadvantages of typically used algorithms, such as the constant modulus algorithm (CMA) or decision-directed algorithms, are reviewed. A new approach to blind equalization is proposed in the paper. It is based on a combination of the CMA and enhanced decision adjusted modulus algorithm elements and mitigates the drawbacks of both algorithms. The algorithm uses optimally calculated detection thresholds to make a decision. The optimization criterion is the minimum probability of the equalizer weights misadjustment. The algorithm has shown high efficiency for modulations with closely positioned circles in the constellation.
一种改进的决策调整模算法用于紧定位圆星座盲均衡
本文主要研究正交调幅系统中的盲均衡问题。评述了常用算法的缺点,如常模算法(CMA)或决策导向算法。提出了一种新的盲均衡方法。它是基于CMA和增强决策调整模算法元素的结合,减轻了两种算法的缺点。该算法使用最优计算的检测阈值进行决策。优化准则是均衡器权值失调的概率最小。该算法对星座中位置较近的圆的调制具有较高的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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