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The expectation-maximization Viterbi algorithm for blind adaptive channel equalization

机译:盲自适应信道均衡的期望最大化维特比算法

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摘要

A blind maximum-likelihood equalization algorithm is described and its convergence behavior is analyzed. Since the algorithm employs the Viterbi algorithm (VA) to execute the expectation step of the expectation-maximization (EM) iteration, we call it the expectation-maximization Viterbi algorithm (EMVA). An EMVA-based blind channel-acquisition technique which achieves a high global convergence probability is developed. The performance of the method is evaluated via numerical simulations under static and fading channel conditions.
机译:描述了一种盲最大似然均衡算法,并分析了其收敛性。由于该算法采用维特比算法(VA)来执行期望最大化(EM)迭代的期望步骤,因此我们将其称为期望最大化维特比算法(EMVA)。开发了一种基于EMVA的盲信道获取技术,该技术实现了较高的全局收敛概率。通过数值模拟在静态和衰落信道条件下评估该方法的性能。

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