A Robust Cooperative Spectrum Sensing Method in Cognitive Radio Networks
A Robust Cooperative Spectrum Sensing Method in Cognitive Radio Networks
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DOI：
10.1109/lcomm.2014.2361851
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发表时间：
2014-10
期刊：
影响因子：
--
通讯作者：
Rui Gao;Zan Li;Peihan Qi;Husheng Li
中科院分区：
文献类型：
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作者：
Rui Gao;Zan Li;Peihan Qi;Husheng Li
在真实的认知无线电网络中，在缺乏先验信息和噪声水平动态变化的情况下进行频谱感知的需求确实提出了严峻的挑战。基于此，本文提出了一种协同功率谱密度分裂抵消（CPSC）方法。CPSC充分利用了傅立叶变换的渐近正态性和独立性，得到了功率谱密度的随机特性。我们推导出一个精确的封闭形式的表达的决策阈值，并提供了有关计算复杂度的分析。分析和仿真结果表明，CPSC对不确定噪声具有鲁棒性。同时，CPSC受益于低计算成本和现有的成熟的知识产权核心，因此，它可以有效地实现。
In real cognitive radio networks, the requirement for spectrum sensing in the case of lacking prior information and dynamically varying noise levels indeed poses a severe challenge. Motivated by these, in this letter, a Cooperative Power spectral density Split Cancelation (CPSC) method is proposed. The CPSC makes full use of the asymptotic normality and independence of a Fourier transform to get the stochastic properties of the power spectral density. We derive an exact closed-form expression of a decision threshold and provide an analysis about computational complexity. Analytical and simulation results show that the CPSC is robust under uncertain noise. Meanwhile, the CPSC benefits from a low computational cost and existing mature intellectual property cores; thus, it can be implemented efficiently.