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Step combination cooperative spectrum sensing algorithm based on autocorrelation matrix

机译:基于自相关矩阵的阶跃组合协作频谱感知算法

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Based on autocorrelation matrix theory of spectrum sensing for cognitive radio (CR). To solve the high cost of cooperative spectrum sensing, this paper proposed a spectrum sensing algorithm by step combination cooperative strategy, with the purpose of keeping balance between accuracy and velocity, the method chooses CR numbers and its users from all CR users randomly. Simulation results show that the method can not only ensure the correctness, but also reduce the extra data overhead result from the cooperative spectrum sensing and shorten the spectrum sensing search time, meanwhile, it is able to ease the burden of central controller and improve the performance of CR system as a whole.
机译:基于自相关矩阵理论的认知无线电(CR)频谱感知。为解决协作频谱感知的高成本问题,提出一种分步组合协作策略的频谱感知算法,其目的是在精度和速度之间保持平衡,从所有CR用户中随机选择CR编号及其用户。仿真结果表明,该方法不仅可以保证正确性,而且可以减少协作频谱感知带来的额外数据开销,缩短频谱感知搜索时间,同时可以减轻中央控制器的负担,提高性能。整个CR系统。

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