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认知无线电中频谱感知技术的AM信号能量检测技术和周期平稳检测技术-Spectrum sensing in cognitive radio technologies AM signal energy detection and cyclostationary detection
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简要介绍了认知无线电中基于能量检测的频谱感知方法,在分析能量检测法原理和性能基础上,研究了噪声的不确定性对检测性能的影响. 仿真表明,能量检测法是一种简单、有效的频谱感知方法.-A brief introduction of cognitive radio spectrum sensing based on energy detection method, the analysis and performance of energy detection principle, based on t
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认知无线电协作频谱感知，能量检测，硬判决，Voting模式-cooperative spectrum sensing, energy detection, hard decision, Voting model
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信号稀疏度检测的matlab仿真程序。该方法能够检测出宽带信号的稀疏度，保证Compressive Sensing在宽带频谱检测中的准确运用。-Signal sparsity detection matlab simulation program. The method can detect the wideband signal sparsity ensure Compressive Sensing wideband spectrum sensing in the exact use.
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energy detection is the most common type of spectrum sensing because it is easy to implement and requires no prior knowledge about the primary signal
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This code performs wide band Cooperative Spectrum Sensing under various noise levels. A large number of primary users as well as secondary users are considered.The detection is power spectral density based . This project gives the lower bound for the
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here is a code for energy detection spectrum sensing whrtr i used thresholding to find a roc curve-here is a code for energy detection spectrum sensing whrtr i used thresholding to find a roc curve...
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Spectrum sensing using energy detection for Cognitive Radio applications
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Studies show that there are Three types of transmitter detection techniques in spectrum sensing in a cognitive radio system these include: matched filter, energy detection and cyclostationary featured detection technique.... this matlab code is for t
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Spectrum Sensing of OFDM signal for Cognitive Radio. Double threshold platform has been used. Autocorrelation of OFDM signal has been used as feature for detection purpose in AWGN channel scenario.
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Optimization of cooperative spectrum sensing using energy detection
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energy detection spectrum sensing in matlab
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提供基本的基于能量检测的频谱感知功能，需要结合软件无线电外设USRP使用(Providing basic spectrum sensing capabilities based on energy detection requires the use of software radio peripheral USRP)
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为解决信号检测过程中噪声不确定性的影响，以接收信号协方差矩阵为基础，提取其特征值作为检测统计量进行频谱感知(In order to solve the influence of noise uncertainty in the signal detection process, based on the covariance matrix of the received signal, the characteristic value is extracted as the detection
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前已提出的频谱感知方法主要包括匹配滤波器检测、 能量检测、 循环平稳特征检测以及多分辨率频谱感知. 这些方法均为单节点感知方法.然而，在阴影和深度衰落情况下， 单个节点的感知结果并不可靠， 因此， 需要对多个节点的感知结果进行融合，以提高检测可靠性， 即协作感知技术. 文献采用“或” 准则对各个 CR 感知结果进行融合. 文献则提出了基于 D-S 证据理论的协作频谱感知算法，虽然该算法的性能比“或” 准则或“与”准则要好， 但需要存储大量历史信息， 算法的计算复杂度也很高. 文献中分析了采用似然
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