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Cooperative Spectrum Detection Algorithm Based on Likelihood Ratio Law for Cognitive Radio Systems

机译:基于认知无线电系统似然率法的协作谱检测算法

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The cognitive radios must have the capability to determine if a signal from a primary transmitter is locally present in a certain spectrum. This paper proposed a cooperation algorithm for spectrum detection based on likelihood ratio for primary users' detection in multi-user's cognitive radio system, this algorithm has especially considered different channels decline with the state of decaying of the route between primary users and a lot of cognitive users, the single node detection adopts the energy law. According to the likelihood ratio law, the mathematical model is set up, and has simplified relevant parameters rationally, has reduced algorithm complexity.
机译:认知收音机必须具有确定来自主发射器的信号是否在某种频谱中存在。本文提出了一种基于多用户认知无线电系统中主要用户检测的似然比的频谱检测的合作算法,该算法特别认为不同的信道与主用户之间的路线衰减的状态下降和许多认知的状态用户,单节点检测采用能量法。根据似然比法律,建立数学模型,并合理地具有简化的相关参数,具有降低的算法复杂性。

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