A new blind equalization algorithm based on convex combination

Chunbo Luo, Yuehuan Gong, Yuehuan Gong, Shaoqian Li
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Abstract

The convex combination is a mathematic approach to keep the advantages of its component algorithms for better performance. In this paper, we employ convex combination in the blind equalization to achieve better blind equalization. By combining the blind constant modulus algorithm (CMA) and decision directed algorithm, the combinative blind equalization (CBE) algorithm can retain the advantages from both. Furthermore, the convergence speed of the CBE algorithm is faster than both of its component equalizers. Simulation results are also given to verify the proposed algorithm.
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一种基于凸组合的盲均衡算法
凸组合是一种保留其组成算法的优点以获得更好性能的数学方法。为了达到更好的盲均衡效果,本文在盲均衡中引入凸组合。将盲恒模算法(CMA)和决策导向算法相结合,使组合盲均衡(CBE)算法保留了两者的优点。此外,CBE算法的收敛速度比两种分量均衡器都快。仿真结果验证了该算法的有效性。
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