Step combination cooperative spectrum sensing algorithm based on autocorrelation matrix

Xiaoxia Cai, Xiaobo Chen, Hong Chen, Ji Liu
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引用次数: 1

Abstract

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.
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基于自相关矩阵的步进组合协同频谱感知算法
基于自相关矩阵理论的认知无线电频谱感知。为解决协同频谱感知成本高的问题,提出了一种采用步进组合协同策略的频谱感知算法,该算法以保持精度和速度的平衡为目的,从所有的CR用户中随机选择CR号及其用户。仿真结果表明,该方法既保证了算法的正确性,又减少了协同频谱感知带来的额外数据开销,缩短了频谱感知搜索时间,同时减轻了中央控制器的负担,提高了CR系统的整体性能。
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