通过柯伊伯测试的局部和合作频谱传感

Jingwen Zhang, Fanggang Wang, Z. Zhong, D. Cabric
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引用次数: 3

摘要

提出了一种新的基于柯伊伯测试的认知无线电频谱感知方法。基于kuiper的检测器是一种计算效率高的频谱感知算法,它利用接收样本的经验累积分布函数(cdf)与噪声信号的经验累积分布函数(cdf)之间的最大正负偏差作为检验统计量,对模型失配不敏感。在协同检测中进一步考虑基于kuiper的检测器,采用改进的融合规则。仿真结果表明,与现有检测器相比,基于kuiper的检测器具有更好的检测性能和鲁棒性,且计算复杂度低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Local and cooperative spectrum sensing via Kuiper's test
A novel Kuiper's test-based spectrum sensing approach in cognitive radio is proposed in this paper. The Kuiper-based detector is a computationally efficient spectrum sensing algorithm, which exploits the maximum positive and negative deviations between the empirical cumulative distribution function (cdf) of received samples and that of noise signals as the test statistic, and is insensitive to the model mismatch. The Kuiper-based detector is further considered in the cooperative detection, where an improved fusion rule is adopted. Simulation results validate that compared with the existing detectors, the Kuiper-based detector provides superior detection performance and robustness with low computational complexity.
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