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Spectrum sensing apparatus and method for cooperative cognitive radio network in non-gaussian noise environment, and fusion center apparatus and cooperative cognitive radio system using the same
Spectrum sensing apparatus and method for cooperative cognitive radio network in non-gaussian noise environment, and fusion center apparatus and cooperative cognitive radio system using the same
Disclosed herein are a spectrum sensing apparatus and method for a cognitive radio (CCR) network in a non-Gaussian noise environment and an FC apparatus and CCR system using the same. The cooperative cognitive radio (CCR) system includes M cognitive radios (CRs), and a fusion center (FC). Each of the M CRs samples a baseband signal obtained by down-converting a radio signal detected in the corresponding frequency spectrum, and generates spectrum sensing information (SSI) indicating that a PU signal has been detected based on the results of the sampling. The FC determines a joint threshold λFC that can maximize an expected average throughput of a secondary user (SU) signal in a given communication environment including a maximum interference condition, calculates a joint test statistic from received M pieces of SSI, and determines whether the PU signal is present by comparing the calculated joint test statistic with the joint threshold.
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机译:本文公开了用于非高斯噪声环境中的认知无线电(CCR)网络的频谱感测设备和方法以及使用其的FC设备和CCR系统。合作认知无线电(CCR)系统包括M个认知无线电(CR)和融合中心(FC)。 M个CR中的每个对通过对在相应频谱中检测到的无线电信号进行下变频而获得的基带信号进行采样,并且基于采样结果来生成指示已经检测到PU信号的频谱感测信息(SSI)。 FC确定联合阈值λ FC Sub>,该联合阈值可以在给定的通信环境(包括最大干扰条件)下最大化次要用户(SU)信号的预期平均吞吐量,并从接收到的M件中计算联合测试统计量并通过将计算的联合测试统计量与联合阈值进行比较来确定是否存在PU信号。
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