基于同步压缩的频谱感知和AM-FM分解

K. Vandhana, P. Sowmya, P. Roshni, K. Divya, S. Ashwin, K. Narayanankutty
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引用次数: 0

摘要

本文利用基于小波的同步压缩变换([1])这一在时频平面上分析信号的新技术,完成了认知无线电的动态频谱感知任务之一。与其他技术相比,这种变换的独特之处在于,它使我们能够分解幅度和频率调制信号,并允许对这些分量进行单独重建。目的还在于将占用的频带分成调幅频带和调频频带。
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Spectrum Sensing and AM-FM Decomposition through Synchrosqueezing
In this paper we have accomplished one of the tasks of cognitive radio i.e. dynamic spectrum sensing by using wavelet based Synchrosqueezing transform [1], a novel technique, which was proposed to analyze a signal in time-frequency plane. The distinctive feature of this transform compared to other techniques is that it enables us to decompose amplitude and frequency modulated signals and allows individual reconstruction of these components. The objective is also to separate the occupied band into amplitude modulated and frequency modulated bands.
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