GMSK信号中载波频率的非侵入式估计

A. Aiello, D. Grimaldi, P. Daponte
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引用次数: 10

摘要

提出了一种有效的GMSK通信系统载波频率评估方法。该技术以非侵入式方式操作,并基于对期望值的频率偏移的测量。它利用基于学习向量量化神经网络的解调器对传输相位进行重构。从这个和接收相位估计频移的平均值。该技术不需要高频率采样率,因为基带信号是经过处理的。在实验GSMK信号上进行的测试表明,该技术相当有吸引力,而且与其他技术相比,速度更快,精度更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A non-intrusive estimation of the carrier frequency in GMSK signals
The paper presents an efficient technique for evaluating the carrier frequency in GMSK communication systems. This technique operates in a non-intrusive way and is based on measurement of the frequency shift from the expected value. It utilizes the Learning Vector Quantisation neural network based demodulator for reconstructing the transmitted phase. From this and the received phase the mean value of the frequency shift is estimated. The technique does not require a high frequency sampling rate because the base-band signal is processed. Tests performed on experimental GSMK signals show that the technique is quite attractive and is also fast and more accurate compared to others.
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