使用Viterbi解码器在未知载波相位的高斯信道上进行编码/未编码MPSK序列的相干检测

P. Kam, P. Sinha
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引用次数: 0

摘要

采用对数字序列和未知载波相位同时进行机器学习估计的方法,开发了一种新的次优机器学习软解码器,在载波相位是时不变的情况下实现了相干检测性能。该解码器不需要任何显式的相干引用恢复,只涉及度量计算中的线性操作,并且可以使用维特比解码器结构有效地实现。它被应用于卷积/网格编码MPSK序列的ML估计,以及未编码的MPSK序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coherent detection of coded/uncoded MPSK sequences over the Gaussian channel with unknown carrier phase using a Viterbi decoder
Using the approach of simultaneous ML estimation of digital sequence and unknown carrier phase, the authors develop a new suboptimum ML soft decoder which achieves coherent detection performance if the carrier phase is time-invariant. This decoder does not require any explicit recovery of coherent references, involves only linear operations in the metric computation, and can be implemented efficiently using a Viterbi decoder structure. It is applied to the ML estimation of a convolutionally/trellis coded MPSK sequence, as well as an uncoded MPSK sequence.<>
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