Spectrum sensing method based on goodness of fit test using chi-square distribution
Spectrum sensing method based on goodness of fit test using chi-square distribution
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DOI：
10.1049/el.2014.0302
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发表时间：
2014-04
影响因子：
1.1
通讯作者：
D. Teguig;V. L. Nir;B. Scheers
中科院分区：
文献类型：
--
作者：
D. Teguig;V. L. Nir;B. Scheers
在认知无线电中，频谱感知是一项具有挑战性的任务。提出了一种新的频谱感知方法，该方法基于对接收样本能量服从卡方分布的拟合优度检验。检验统计量的推导和所提出的方法的性能进行评估，通过蒙特卡罗模拟。结果表明，该频谱感知方法优于传统的能量检测方法，而不增加复杂度的感知。
In cognitive radio, spectrum sensing is a challenging task. Proposed is a new spectrum sensing method based on the goodness of fit test of the energy of the received samples with a chi-square distribution. The test statistic is derived and the performance of the proposed method is evaluated by Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the conventional energy detection method without increasing the complexity of the sensing.