基于分数阶傅里叶变换的认知无线电混合叠加/底层波形

Xiaocheng Song, Jun Shi, X. Sha
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引用次数: 2

摘要

频谱拥塞问题主要是由于频谱利用效率低下造成的。认知无线电(Cognitive radio, CR)和新兴的软决策无线电(soft decision CR, SDCR)作为解决这一问题的候选方法引起了人们的广泛关注。前者确定未使用的频谱区域,并在这些频带中传输覆盖信号。后者同时利用未使用和已占用的光谱区域,并根据时变的环境条件动态调整其光谱响应。然而,SDCR的使能波形是正弦信号,不能与许可信号完全分离。本文提出了一种基于分数阶傅里叶变换的CR波形设计方法。我们首先提出了一种新的混合底层/叠加波形设计方法,然后根据推导结果提出了CR的系统模型。并进行了理论分析。通过仿真验证了理论推导的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid overlay/underlay waveform for cognitive radio associated with fractional Fourier transform
Spectrum congestion problem is mainly caused by the inefficient spectrum usage. Cognitive radio (CR) and emerging soft decision CR (SDCR) have attracted wide interest as candidates to solve this problem. The former determines unused spectral regions and transmits overlay signals in these bands. The latter exploits both unused and occupied spectral regions simultaneously and dynamically adapts its spectra response according to time-varying environmental conditions. However, enabling waveforms of SDCR are sinusoidal signals and can not be separated from licensed signals completely. In this paper, we provide a novel waveform design method for CR based on the fractional Fourier transform. We first present a novel hybrid underlay/overlay waveform design method and then propose a system model for CR using the derived results. Moreover, theoretical analysis is also given. The validity of the theoretical derivations is demonstrated via simulations.
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