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COMPARISON BETWEEN SPECTRUM SENSING IN COGNITIVE RADIO SYSTEMS

机译:认知无线电系统中光谱感测的比较

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摘要

Nowadays spectrum allocation could be a large problematic space for the wireless communication. Here, for the unauthorized users to use the licenced spectrum, unused frequency bands known as white areas have to be compelled to be detected. Cognitive radio will this task by dynamic spectrum access. This needs intelligent spectrum sensing techniques. To account for spectrum scarceness drawback and spectrum underutilization the cognitive radio comprehensive of spectrum sensing has been incorporated. One among the foremost vital factors of spectrum sensing for cognitive radio network is sensing accuracy. There are several spectrum sensing strategies are offered. Among that matched filter methodology and cyclostationary feature based mostly methodology performances are being compared underneath high noise and conjointly the performance of the system is being compared underneath numerous noise models as AWGN, Rician and Rayleigh to supply the simples spectrum sensing results.
机译:如今,频谱分配对于无线通信而言可能是一个很大的问题空间。在此,为了使未授权用户使用许可频谱,必须强制检测被称为白色区域的未使用频带。认知无线电将通过动态频谱访问来完成这项任务。这需要智能频谱感测技术。为了解决频谱稀缺性缺陷和频谱利用不足的问题,已经并入了综合了频谱感知的认知无线电。认知无线电网络频谱感知的最重要的因素之一就是感知准确性。提供了几种频谱感测策略。在匹配的滤波器方法和主要基于循环平稳特征的方法性能中,主要是在高噪声下进行比较,同时在许多噪声模型(如AWGN,Rician和Rayleigh)下对系统的性能进行比较,以提供简单的频谱感应结果。

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