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Energy Detector Based Spectrum Sensing Performance Analysis over Fading Environment
Journal of Scientific & Industrial Research ( IF 0.7 ) Pub Date : 2021-03-11
Brijesh Kumar Singh, Mainak Mukhopadhyay

Energy detection approach for sensing of spectrum is an extremely effective method of detection in comparison of other spectrum sensing methods when secondary user lacks adequate knowledge of primary user's channel conditions. Because of multipath propagation and shadowing effects, performance of energy detector employed in a cognitive radio system is severely influenced. In this paper, we have evaluated performance of energy detector over fading environment. Hypothesis testing was utilized for spectrum sensing to find out whether the primary user's signal was available or missing. Performance assessment for spectrum sensing using the energy detector was carried out primarily on the basis of probability of false alarm and probability of detection. We have examined the impact of SNR on probability of detection in order to assess the performance of spectrum sensing using energy detector. Also the receiver operating characteristic curve was plotted for performance analysis of spectrum sensing employing energy detector. In addition, we also examined the impact of threshold value on the probability of the false alarm. We have found that probability of detection improves when we increase the value of signal to noise ratio and use more number of samples. We have also observed that false alarm probability decreases when we increase the threshold value.

中文翻译:

基于能量检测器的衰落环境下的频谱感知性能分析

当次要用户对主要用户的信道条件缺乏足够的了解时,与其他频谱感测方法相比,用于频谱感测的能量检测方法是一种极为有效的检测方法。由于多径传播和遮蔽效应,严重影响了认知无线电系统中使用的能量检测器的性能。在本文中,我们评估了衰落环境下能量检测器的性能。假设测试用于频谱感测,以找出主要用户的信号是否可用。使用能量检测器进行频谱感测的性能评估主要是基于误报警的概率和检测的概率进行的。我们评估了SNR对检测概率的影响,以便评估使用能量检测器的频谱传感性能。还绘制了接收机的工作特性曲线,用于使用能量检测器进行频谱感测的性能分析。此外,我们还检查了阈值对虚警概率的影响。我们发现,当我们增加信噪比值并使用更多样本时,检测概率会提高。我们还观察到,当我们增加阈值时,虚假警报的概率会降低。我们还检查了阈值对虚警概率的影响。我们发现,当我们增加信噪比值并使用更多样本时,检测概率会提高。我们还观察到,当我们增加阈值时,虚假警报的概率会降低。我们还检查了阈值对虚警概率的影响。我们发现,当我们增加信噪比值并使用更多样本时,检测概率会提高。我们还观察到,当我们增加阈值时,虚假警报的概率会降低。
更新日期:2021-03-11
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