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An SDR implementation of reliable spectrum sensing using fuzzy logic and genetic algorithm

机译：采用模糊逻辑和遗传算法的可靠光谱感测的SDR实现

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This paper presents the design of a reliable spectrum sensing method using fuzzy logic and genetic algorithm. Fuzzy logic acts as a decision-making system. It is used to select an optimal sensing method based on the current wireless channel state, the required accuracy of sensing, and computational complexity. Three sensing algorithms named as energy detection, feature detection and cyclo-stationary detection are used. The fuzzy decision-making system analyses the present state of SNR, availability information about the primary user, application demand on delay and accuracy. It selects optimal spectrum sensing techniques based on that analysis result. A genetic algorithm is used to choose optimal parameter selection for the selected optimal algorithm to improve the reliability further. The entire scheme is implemented on the USRP RIO SDR hardware. Performance evaluation on experiments shows that the proposed system outperforms with the probability of detection 99.7%.
机译：本文介绍了采用模糊逻辑和遗传算法的可靠频谱传感方法的设计。 模糊逻辑作为决策系统。 它用于基于当前无线信道状态的最佳感测方法，感测的所需精度和计算复杂度。 使用了三种传感算法，名称为能量检测，特征检测和基准式检测。 模糊决策系统分析了SNR的当前状态，有关主要用户的可用性信息，延迟和准确性的应用需求。 它基于该分析结果选择最佳频谱传感技术。 遗传算法用于选择所选最佳算法的最佳参数选择，以进一步提高可靠性。 整个方案在USRP RIO SDR硬件上实现。 实验的性能评估表明，所提出的系统优于检测概率99.7％。

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