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首页> 外文期刊>IEEE Transactions on Signal Processing >A Theoretical Framework for Iterative Synchronization Based on the Sum–Product and the Expectation-Maximization Algorithms
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A Theoretical Framework for Iterative Synchronization Based on the Sum–Product and the Expectation-Maximization Algorithms

机译:基于和积和期望最大化算法的迭代同步理论框架

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摘要

This paper deals with maximum-likelihood (ML) estimation of synchronization parameters for coded transmission systems. In particular, we present a unified framework based on both the sum–product (SP) algorithm and the expectation-maximization (EM) algorithm for the design of iterative synchronizers. The proposed approach is shown to encompass some known iterative synchronizers. In particular, we revisit a previously proposed framework based on the EM algorithm only by means of our “SP-EM” approach. The performance of the proposed synchronization method is assessed in terms of mean-square error and bit-error rate by simulation results. In particular, we consider the joint synchronization of the timing epoch and the carrier phase offset in the case of convolutionally coded and turbo-coded transmissions.
机译:本文涉及编码传输系统同步参数的最大似然(ML)估计。特别是,我们提出了一个基于和积(SP)算法和期望最大化(EM)算法的统一框架,用于迭代同步器的设计。所提出的方法显示为包含一些已知的迭代同步器。特别是,我们仅通过“ SP-EM”方法来重新研究基于EM算法的先前提出的框架。仿真结果根据均方误差和误码率评估了所提出的同步方法的性能。特别地,在卷积编码和turbo编码传输的情况下,我们考虑定时纪元和载波相位偏移的联合同步。

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