基于熵最小化的水声接收机同步算法

Xiao Liu, Jean-François Bousquet
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引用次数: 2

摘要

本文提出了一种新的熵最小化准则和相应的算法,用于水声接收机的符号定时和载波频率恢复。它依赖于接收信号的眼图和星座图的熵估计。在参数搜索过程中,当实现完全同步时,熵达到全局最小,表示符号间干扰最小或星座图恢复。与其他同步方法不同,该统一准则可用于构建高精度的一体化同步器。通过理论分析和海试数据验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Entropy Minimization Based Synchronization Algorithm for Underwater Acoustic Receivers
This paper presents a new entropy minimization criterion and corresponding algorithms that are used for both symbol timing and carrier frequency recovery for underwater acoustic receivers. It relies on the entropy estimation of the eye diagram and the constellation diagram of the received signal. During the parameter search, when perfect synchronization is achieved, the entropy will reach a global minimum, indicating the least intersymbol interference or a restored constellation diagram. Unlike other synchronization methods, this unified criterion can be used to build an all-in-one synchronizer with high accuracy. The feasibility of this method is proven using a theoretical analysis and supported by sea trial measurement data.
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