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A blindly cooperative spectrum sensing algorithms based on linear prediction for cognitive radio

机译:基于线性预测的认知无线电盲协作频谱感知算法

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摘要

Spectrum sensing is one of the main parts in cognitive radio. The performance of the adopted spectrum sensing method is very important. When the primary user and the cognitive radio are in operation simultaneously, performance of spectrum sensing is damaged. We propose to apply the linear prediction for the blind source separation algorithm as an alternative for more conventional techniques. Simulation results show that the proposed method is feasibility and enhance the spectrum sensing performance comparing to the energy detection method in all experiments when the cognitive radio is in operation.
机译:频谱感测是认知无线电的主要部分之一。所采用的频谱感测方法的性能非常重要。当主要用户和认知无线电同时运行时,频谱感测的性能受到损害。我们建议将线性预测应用于盲源分离算法,作为更常规技术的替代方法。仿真结果表明,在认知无线电工作的所有实验中,与能量检测方法相比,该方法是可行的,并且能提高频谱感知性能。

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