Cognitive radios for aeronautical telemetry

M. Rice, Jacob Frogget
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引用次数: 2

Abstract

A novel modulation classifier for the three CPMs described in IRIG 106 is developed. The classifier is based on comparing histograms of measured phase shifts to the three true discrete phase shift densities using the Kullback-Leibler distance. Simulation results show that the classifier correctly identifies the true modulation for all three cases when Eb/N0 ≥ 30 dB. Even though a relative high signal-to-noise ratio is required for the classifier to operate in a satisfactory way, this method is able to correctly identify al three, in contrast to the previously published classifier devoted to the IRIG 106 modulations.
航空遥测用认知无线电
开发了一种新的调制分类器,用于IRIG 106中描述的三种cpm。该分类器基于使用Kullback-Leibler距离将测量相移的直方图与三个真正的离散相移密度进行比较。仿真结果表明,当Eb/N0≥30 dB时,该分类器能正确识别出三种情况下的真调制。尽管分类器以令人满意的方式运行需要相对较高的信噪比,但与先前发表的专门用于IRIG 106调制的分类器相比,该方法能够正确识别所有三种。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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