频谱感应:利用机器学习模型在认知无线电中进行频谱感应
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matlab无线通信的代码认知无线电和频谱感知 认知无线电(CR)是一种可编程的无线电和网络技术(智能收发器),具有自适应性,可以自动检测无线通信信道中的网络流量,并相应地调整其传输和接收,以有效地利用可用带宽。 基于各种输入,CR能够允许用户利用未使用/空闲的通信信道,从而避免无线通信信道中的拥塞。 在本项目中,我们考虑诸如用户数量,信噪比(SNR),总错误率和功率电平阈值(用于频谱感知以近似无线通信信道中的网络流量)之类的参数。 该存储库保存了通用的MATLAB / GNU Octave兼容代码,该代码将上述参数考虑在内,并通过将参数微调为不同的值并执行计算来近似CR的性能。 代码中用于计算的两个主要数学函数是: Marcum Q函数 (上部不完整)伽玛功能 Marcum Q函数 该函数用于通过设置功率阈值来计算用于检测可用频谱的使用的检测概率P d 。 即,Q函数计算概率密度函数P(X ≥ x) 。 因此,我们为参数x配置了一个阈值,并应用Marcum-Q函数来检测大于所应用阈值的信号功率水平X以近似使用信道频谱。 数学方程式如下: (上部不完整)伽玛功能 此函数用于计算错误检测
2021-09-28 10:06:25 4KB 系统开源
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Cooperative-Spectrum-Sensing-Using-Cognitive-Radio-master (1).zip
2021-05-02 18:00:15 24.35MB 认知无线电 频谱
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Opportunistic unlicensed access to the (tem- porarily) unused frequency bands across the licensed radio spectrum is currently being inves- tigated as a means to increase the efficiency of spectrum usage. Such opportunistic access calls for implementation of safeguards so that ongo- ing licensed operations are not compromised. Among different candidates, sensing-based access, where the unlicensed users transmit if they sense the licensed band to be free, is partic- ularly appealing due to its low deployment cost and its compatibility with the legacy licensed sys- tems. The ability to reliably and autonomously identify unused frequency bands is envisaged as one of the main functionalities of cognitive radios. In this article we provide an overview of the regulatory requirements and major chal- lenges associated with the practical implementa- tion of spectrum sensing functionality in cognitive radio systems. Furthermore, we outline different design trade-offs that have to be made in order to enhance various aspects of the sys- tem’s performance.
2020-03-09 03:03:19 176KB cognitive radio Spectrum sensing
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有关认知无线电频谱感知算法的入门教程,简单易懂,配合其中提到的论文可以掌握频谱感知算法的基础
2019-12-21 20:12:15 1.09MB spectrum sensing 入门教程
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