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认知无线电频谱感知匹配滤波器检测仿真，选用FM信号，分析了虚警概率-Matched filter spectrum sensing cognitive radio simulation testing, the choice of FM signals, analysis of the probability of false alarm
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。当各感知用户采用软判决方法,对于2
个感知用户合作和3个感知用户合作的情况,可对最优联合检测算法性能有015dB改善。-. When the user uses soft decision method of perception, perceptual user cooperation for 2 and 3 sensing user cooperation, the joint detection algorithm can best improve the performance o
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matched filter detection for spectrum sensing in cognitive radio
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SIGNAL DETECTION FOR SPECTRUM SENSING
Spectrum sensing is a critical functionality in cognitive radio communications as it must be performed before allowing unlicensed users to access a vacant licensed band. Energy detector is also known as radiome
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循环周期特征的谱传感技术 频谱感知；匹配滤波器感知；能量感知；合作式感知；-Cycle characteristics of the spectrum sensing technology spectrum sensing perception matched filter energy-aware cooperative perception
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it is matlab code on spectrum sensing in cognitive radio network using matched filter
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认知无线电频谱感知中的单用户频谱感知的主要三种方法：能量检测，循环平稳特征检测，匹配滤波器检测 的matlab实现的源代码-cognitive radio spectrum sensing：Energy detection, cyclostationary feature detection, matched filter detection 。matlab the source code
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file is all about the matlab code for spectrum sensing in cognitive radio environment related to energy detection and matched filter spectrum sensing techniques-file is all about the matlab code for spectrum sensing in cognitive radio environment rel
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this file all is about spectrum sensing in cognitive radio environment basically have the codes for energy detection and matched filter spectrum sensing techniques-this file all is about spectrum sensing in cognitive radio environment basically have
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Co-operative spectrum sensing for matched filter detection
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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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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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