认知无线电中分簇协作频谱感知算法研究

发布时间：2018-04-19 21:49

本文选题：信道衰落 + 协作频谱感知　；参考：《内蒙古大学》2014年硕士论文

【摘要】：认知无线电是一种智能的无线通信技术,可以有效地解决频谱共享问题。本文在深入研究认识无线电技术的基础上,重点探讨了其关键技术之一的频谱感知技术,并完成以下创新性研究成果：针对信道衰落和多径衰落对认知无线电协作频谱感知性能的影响,本文基于位置和信道两个方面优化了多簇协作频谱感知,并结合改进的双门限能量检测提高频谱感知性能。改进的双门限能量检测是把处于两个门限值之间的检测能量值也传送到数据融合中心,数据融合中心根据网络期望的目标虚警概率得到网络门限值,据此将该能量值做融合处理,并参与网络的判决。仿真结果表明,该算法的频谱感知准确度高于传统的基与位置的分簇协作频感知算法,可以提高整个网络的频谱感知性能。针对采用双门限能量检测给网络带来的通信流量大,占用控制信道较宽的问题,对簇内的改进双门限能量检测协作频谱感知算法进一步优化。在保证感知性能的前提下,适当减少簇内参与协作感知的认知用户数量,以此降低整个网络在频谱感知时所需要的通信流量和网络消耗。仿真结果表明,当信噪比为l0dB时,优化后的整个网络的检测概率从75%提高到99%。本文在最后对全文进行了总结,并对认知无线电的分簇协作频谱频谱感知技术进行了展望。
[Abstract]:Cognitive radio is an intelligent wireless communication technology, which can effectively solve the problem of spectrum sharing. On the basis of in-depth research and understanding of radio technology, this paper focuses on spectrum sensing technology, one of its key technologies, and completes the following innovative research results: Aiming at the influence of channel fading and multipath fading on cognitive radio cooperative spectrum sensing performance, this paper optimizes multi-cluster cooperative spectrum sensing based on location and channel, and improves spectrum sensing performance by combining improved dual-threshold energy detection. The improved double threshold energy detection is to transmit the detection energy between two threshold values to the data fusion center. The data fusion center obtains the network threshold value according to the expected false alarm probability of the network. Based on this, the energy value is fused and involved in the judgment of the network. Simulation results show that the spectrum sensing accuracy of the proposed algorithm is higher than that of the traditional clustering and position cooperative frequency sensing algorithm, which can improve the spectrum sensing performance of the whole network. In order to solve the problem of large communication flow and wide occupation of control channel caused by dual-threshold energy detection, the improved cooperative spectrum sensing algorithm for dual-threshold energy detection in clusters is further optimized. In order to reduce the communication traffic and network consumption in spectrum sensing the number of cognitive users involved in cooperative sensing can be reduced properly on the premise of ensuring the performance of perception. The simulation results show that the detection probability of the optimized network is increased from 75% to 99% when the SNR is l0dB. At the end of this paper, the thesis summarizes the whole thesis and looks forward to the cooperative spectrum sensing technology of cognitive radio.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN925

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