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首页> 外文会议>Radio and Wireless Symposium (RWS), 2012 IEEE >Low complexity implementation of per-survivor processing for carrier-phase tracking in uncertain environments
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Low complexity implementation of per-survivor processing for carrier-phase tracking in uncertain environments

机译：低生存率处理的低复杂度实现，用于不确定环境中的载波相位跟踪

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摘要

Performance of Maximum Likelihood Sequence Estimation (MLSE) in receivers highly depends on the reliability of the channel parameters estimation. Traditionally, the channel parameters are estimated based on the tentative decisions before the MLSE detector. Per-survivor Processing (PSP) technique, as compared to traditional Viterbi algorithm, was shown to improve the performance of MLSE in uncertain environments. The PSP technique mainly comes from the idea that the estimation of unknown channel parameters can be embedded into the Viterbi decoder. The higher performance of the technique is achieved at the expense of higher complexity. In this paper we introduce a modification to the PSP algorithm to reduce the number of per-survivors and therefore the associated parameter updating modules. This modification was shown to lower the implementation complexity of the algorithm while keeping the performance at an acceptable level. The performance of phase tracking based on the PSP technique was also compared to traditional phase trackers through simulation.
机译：接收机中最大似然序列估计（MLSE）的性能高度取决于信道参数估计的可靠性。传统上，基于MLSE检测器之前的临时决策来估算信道参数。与传统的维特比算法相比，每个幸存者处理（PSP）技术可提高不确定环境中MLSE的性能。 PSP技术主要来自可以将未知信道参数的估计嵌入​​到维特比解码器中的想法。以更高的复杂性为代价来实现该技术的更高性能。在本文中，我们对PSP算法进行了修改，以减少每个幸存者的数量，从而减少了相关的参数更新模块。该修改表明可以降低算法的实现复杂度，同时将性能保持在可接受的水平。通过仿真，还将基于PSP技术的相位跟踪性能与传统的相位跟踪器进行了比较。

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