认知无线电中协作宽带频谱感知算法的研究
发布时间：2018-09-11 15:57
【摘要】：随着无线通信的飞速发展,频谱资源日益稀缺。但频谱资源在利用上的不均衡性又使得其浪费严重。为了应对这一问题,认知无线电技术应运而生,它可有效提高频谱资源的利用率。频谱感知是认知无线电实现的重要前提。近年来随着宽带无线通信的普及,宽带频谱感知也成为了认知无线电领域的一大研究热点。本文对协作宽带频谱感知算法进行了深入研究。针对单用户宽带感知算法中尚存的问题,引入多用户协作的理念和双门限能量检测算法,提出基于双门限能量检测的协作宽带感知算法。该算法将宽带授权频谱划分成若干个子频段,利用双门限能量检测感知其中的部分子频段,分别在次用户和数据融合中心处进行两次数据融合,从而得到系统最终的全局判决。仿真结果表明,当与传统宽带频谱感知算法的性能相近时,基于双门限能量检测的协作宽带感知算法所需检测的子频段数更少,其感知能耗和通信开销也更小。本文还研究了无线电环境地图技术在宽带频谱感知中的应用,提出基于无线电环境地图的协作宽带感知算法。该算法将由双门限能量检测算法所得的软、硬判决信息分开处理,硬判决信息利用表决融合规则进行合并,而软判决信息则根据无线电环境地图中存储的地理位置信息进行加权合并,系统最终的全局判决由这两部分的结果叠加而成。仿真结果表明,通过调节表决融合的门限值,可使该算法达到与基于双门限能量检测的协作宽带感知算法相近检测性能,同时该算法对系统中次用户的负担更小,也更适于实际的无线通信场景。
[Abstract]:With the rapid development of wireless communication, spectrum resources are increasingly scarce. However, the imbalance in the use of spectrum resources makes it a serious waste. In order to deal with this problem, cognitive radio emerged as the times require, and it can effectively improve the efficiency of spectrum resources. Spectrum sensing is an important premise of cognitive radio. In recent years, with the popularity of broadband wireless communication, broadband spectrum sensing has become a research hotspot in the field of cognitive radio. In this paper, the cooperative wideband spectrum sensing algorithm is deeply studied. Aiming at the remaining problems in single-user wideband sensing algorithm, a novel cooperative wideband sensing algorithm based on two-threshold energy detection is proposed by introducing the idea of multi-user cooperation and two-threshold energy detection algorithm. The algorithm divides the broadband authorized spectrum into several sub-bands, detects part of the sub-band by using the two-threshold energy detection, and performs two data fusion at the secondary user and the data fusion center, so as to obtain the final global decision of the system. The simulation results show that when the performance of the traditional wideband spectrum sensing algorithm is similar to that of the traditional wideband spectrum sensing algorithm, the cooperative wideband sensing algorithm based on two-threshold energy detection needs fewer sub-bands, and its sensing energy consumption and communication overhead are also smaller. This paper also studies the application of radio environment map technology in wideband spectrum sensing, and proposes a cooperative wideband sensing algorithm based on radio environment map. In this algorithm, the soft and hard decision information obtained by the dual-threshold energy detection algorithm is processed separately, and the hard decision information is merged by the voting fusion rule. The soft decision information is weighted and combined according to the geographical location information stored in the radio environment map, and the final global decision of the system is formed by the superposition of the results of these two parts. The simulation results show that by adjusting the threshold value of voting fusion, the proposed algorithm can achieve the same detection performance as the cooperative wideband sensing algorithm based on dual-threshold energy detection, and the algorithm has less burden on the secondary users in the system. It is also more suitable for actual wireless communication scenarios.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN925
本文编号：2237153
[Abstract]:With the rapid development of wireless communication, spectrum resources are increasingly scarce. However, the imbalance in the use of spectrum resources makes it a serious waste. In order to deal with this problem, cognitive radio emerged as the times require, and it can effectively improve the efficiency of spectrum resources. Spectrum sensing is an important premise of cognitive radio. In recent years, with the popularity of broadband wireless communication, broadband spectrum sensing has become a research hotspot in the field of cognitive radio. In this paper, the cooperative wideband spectrum sensing algorithm is deeply studied. Aiming at the remaining problems in single-user wideband sensing algorithm, a novel cooperative wideband sensing algorithm based on two-threshold energy detection is proposed by introducing the idea of multi-user cooperation and two-threshold energy detection algorithm. The algorithm divides the broadband authorized spectrum into several sub-bands, detects part of the sub-band by using the two-threshold energy detection, and performs two data fusion at the secondary user and the data fusion center, so as to obtain the final global decision of the system. The simulation results show that when the performance of the traditional wideband spectrum sensing algorithm is similar to that of the traditional wideband spectrum sensing algorithm, the cooperative wideband sensing algorithm based on two-threshold energy detection needs fewer sub-bands, and its sensing energy consumption and communication overhead are also smaller. This paper also studies the application of radio environment map technology in wideband spectrum sensing, and proposes a cooperative wideband sensing algorithm based on radio environment map. In this algorithm, the soft and hard decision information obtained by the dual-threshold energy detection algorithm is processed separately, and the hard decision information is merged by the voting fusion rule. The soft decision information is weighted and combined according to the geographical location information stored in the radio environment map, and the final global decision of the system is formed by the superposition of the results of these two parts. The simulation results show that by adjusting the threshold value of voting fusion, the proposed algorithm can achieve the same detection performance as the cooperative wideband sensing algorithm based on dual-threshold energy detection, and the algorithm has less burden on the secondary users in the system. It is also more suitable for actual wireless communication scenarios.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN925
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