认知车载网频谱感知算法的研究
首发时间:2018-06-15
摘要:认知无线电技术与基于车辆的自组织网络的结合是解决车载自组织网络中频谱资源问题的关键。频谱感知是认知无线电和认知车载网络的关键技术之一。本文在研究认知车载网频谱感知技术的基础上,分析传统协作频谱检测算法的缺点,着眼于节点安全性和算法实现的复杂性,从融合中心处进行优化,并对所提出的方法进行了仿真测试。仿真结果表明,改进的检测算法可以在一定程度上提高了检测概率,实现了在开销允许的情况下,提高了感知结果的可靠性。
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Research on Spectrum Sensing Algorithm for Cognitive Vehicle Network
Abstract:The combination of cognitive radio technology and vehicle-based self-organizing networks is the key to solving the problem of spectrum resources in automotive self-organizing networks. Spectrum sensing is one of the key technologies for cognitive radios and cognitive in-vehicle networks. In this paper, based on the research of cognitive vehicle-mounted network spectrum sensing technology, the shortcomings of traditional cooperative spectrum detection algorithms are analyzed. The focus is on node security and the complexity of algorithm implementation. Optimization is performed from the fusion center and the proposed method is implemented. And the proposed method was simulated and tested.. The simulation results show that the improved detection algorithm can improve the detection probability to a certain extent, and achieve the improvement of the reliability of the perception result when the overhead is allowed.
Keywords: vehicular networks Cognitive radio spectrum sensing thetrust
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