基于农业物联网的改进型双门限频谱检测算法研究

农业物联网的出现,对信息化与农业现代化融合具有积极推动的作用。在农业物联网中信息传输是一个至关重要的环节,到目前为止,普通的3G和4G通信网络已经不能提供农业物联网中进行信息传递所需要的频谱资源,而认知无线电网络恰恰可以满足农业物联网的需求。它显著的特点就是可以发现未被授权用户利用的频谱,来供给未授权用户使用,提高了频谱资源的利用率。在认知无线电中,最重要的步骤就是进行频谱检测,笔者就是在双门限频谱检测算法的基础上提出一种新型算法。该算法适当地选取条件好的认知用户进行数据融合,并不是采纳所有认知用户的本地检测信息。仿真结果表明:本文提出的算法可有效提高认知无线电系统中频谱感知的性能,降低虚警概率,以更好地为农业物联网提供可用的频谱资源。

Detection Limit of the Spectrum Algorithm Based on Improved Agricultural Things Double Doors

Things emergence of agriculture , information technology integration and modernization of agriculture has a pos-itive role in promoting.Things in agricultural information transfer is a vital link.So far, the general's 3G and 4G com-munications network has been unable to meet the agricultural Things spectrum resources in the transmission of information needed.Cognitive Radio Networks things just to meet agricultural demand.It is notable feature is the ability to discover unauthorized use of the spectrum users to supply unauthorized users.Cognitive radio is generated improves the utilization of spectrum resources.Things agriculture and cognitive radio technology combine these two areas, agriculture spectrum of things facing shortage problem is solved.In cognitive radio, the most important step is to detect the spectrum.The author is in the traditional two-threshold spectrum propose a new algorithm on the basis of the detection algorithm.The algo-rithm to select the appropriate conditions are good cognitive user data fusion, and not adopt the local detection information for all cognitive users.Simulation results show that the proposed algorithm can effectively improve the spectrum sensing cognitive radio system performance, reduce the probability of false alarm.Better networking can provide material for agri-culture available spectrum resources.