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认知无线通信系统中的空域协作感知算法研究

发布时间:2018-10-21 16:40
【摘要】:随着科学技术的飞速发展,无线通信技术不断涌现,并需要为这些新的技术分配频谱资源。现有的静态频谱分配方案,需要为每一类技术分配一个固定的频段,这就导致了可用频谱资源越来越少。认知无线电是解决这种频谱供需矛盾的一个手段,系统针对授权频段利用率不高现象,提出认知用户在不影响授权用户的前提下,合理利用频谱空洞进行通信,从而解决频谱资源的供需矛盾并提高频谱的利用率。频谱感知技术是认知无线电的关键技术,本文对单点频谱感知技术和协作频谱感知技术进行深入的研究。论文分析了现有的单点频谱感知技术和协作频谱感知技术的不足,提出了空域协作感知方法。提出的方法能够通过RSSI算法和三边定位算法得出授权用户的位置、功率等信息,该授权用户信息可以辅助得到结合空域信息的频谱状态,从而提高频谱资源的利用率。最终在基于USRP硬件平台的单频点频谱感知模块的基础上,完成并实现了空域协作感知方法的有效性。
[Abstract]:With the rapid development of science and technology, wireless communication technology is emerging, and these new technologies need to allocate spectrum resources. The existing static spectrum allocation schemes need to allocate a fixed frequency band for each kind of technology, which leads to less and less available spectrum resources. Cognitive radio is a method to solve the contradiction between supply and demand of spectrum. Aiming at the phenomenon of low utilization of authorized frequency band, the system proposes that cognitive users can make use of spectrum holes to communicate reasonably without affecting authorized users. In order to solve the contradiction between supply and demand of spectrum resources and improve the efficiency of spectrum. Spectrum sensing technology is the key technology of cognitive radio. In this paper, single point spectrum sensing technology and cooperative spectrum sensing technology are deeply studied. In this paper, the shortcomings of the existing single point spectrum sensing and cooperative spectrum sensing techniques are analyzed, and a spatial cooperative sensing method is proposed. The proposed method can obtain the location and power information of authorized users through RSSI algorithm and trilateral location algorithm. The information of authorized users can help to obtain the spectrum state combined with spatial information and thus improve the utilization of spectrum resources. Finally, based on the single frequency spectrum sensing module based on USRP hardware platform, the effectiveness of spatial cooperative sensing method is completed and realized.
【学位授予单位】:西安电子科技大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN925

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