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Genetic algorithm-assisted soft fusion-based linear cooperative spectrum sensing

机译:基于遗传算法的基于软融合的线性协作频谱感知

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References(8) Cited-By(3) In this letter, a cooperative spectrum sensing scheme for cognitive radio networks based on genetic algorithm (GA) is proposed. The proposed scheme lies in optimizing the weighting coefficients vector used in a linear soft-decision fusion- (SDF-) based framework. The detection performance of the proposed GA-assisted SDF-based scheme is compared with the conventional SDF schemes as well as the OR-logic hard-decision fusion (HDF) scheme. The simulation results show that the proposed scheme outperforms all other schemes and can achieve higher probability of detection given the same probability of false alarm.
机译:参考文献(8)Cyted-By(3)在本文中,提出了一种基于遗传算法(GA)的认知无线电网络协作频谱感知方案。所提出的方案在于优化基于线性软判决融合(SDF)的框架中使用的加权系数向量。将所提出的基于GA辅助SDF的方案的检测性能与常规SDF方案以及OR-逻辑硬决策融合(HDF)方案进行了比较。仿真结果表明,该方案优于其他方案,在误报概率相同的情况下,具有较高的检测概率。

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