认知无线电可变检测间隔与基于USRP的数据传输系统设计
发布时间：2018-12-24 07:41
【摘要】：认知无线电(CR)是智能无线通信领域的新技术,它能感知周围无线环境的信息,动态调整无线电运行参数,以满足用户需求,改善通信系统性能。认知无线电技术为解决逐渐增长无线业务需求与频谱资源缺乏的矛盾提供了一个可行的思路,对环境的学习、动作决策和参数重配置是认知无线电的关键技术。本文通过分析、总结认知无线电网络中相关技术的研究现状,使用USRP(Universal Software Radio Peripheral,通用软件无线电外部设备)建立了一套认知无线电数据传输实验系统。同时针对用户信号的出现,提出了一种检测间隔的自适应调节方法,以适应多变的无线环境,减小了系统的检测延迟和检测次数,从而降低了系统的检测开销。具体工作总结如下:第一,在总结已有文献对认知无线电各种定义和解释的基础上,本文设计了一种实现简单、具有开放性和可扩展性的通用认知无线电功能实现架构,将认知无线电数据传输系统的搭建集中在可重构波形组件的设计与实现上。可重构波形利用GNU Radio开源软件无线电技术实现一个波形开发平台,具备多项可调波形参数、快速波形重构能力。第二,在应用场景中,检测间隔的设计成为一个关键点。本文在充分考虑用户信号对数据传输的影响后,提供一种检测间隔的自适应调节方法,旨在通过结合用户信号和噪声信号分布特征,考虑CR网络的特性对数据传输的影响,将CUSUM算法与可变间隔检测算法相结合,设计一种新的检测间隔的自适应调节方法,该方法可在不对其他用户造成影响的同时,提升数据传输的服务质量。第三,在开发的数据传输系统平台上,设计了基于认知无线电技术的抗干扰通信场景实验。数据传输系统可快速感知干扰信号(感知),根据用户的抗干扰需求(计划),迅速做出推理判断(决策),调整波形参数(执行),改善通信效能,降低干扰影响。场景实验充分表明了认知无线电技术用于抗干扰通信的可行性。
[Abstract]:Cognitive radio (CR) is a new technology in the field of intelligent wireless communication. It can perceive the information of the surrounding wireless environment and dynamically adjust the radio operating parameters to meet the needs of users and improve the performance of communication systems. Cognitive radio technology provides a feasible way to solve the contradiction between the increasing demand for wireless services and the lack of spectrum resources. The key technologies of cognitive radio are environment learning, action decision making and parameter reconfiguration. By analyzing and summarizing the research status of related technologies in cognitive radio network, a set of experimental system for data transmission of cognitive radio is established by using USRP (Universal Software Radio Peripheral, (General Software Radio Peripheral). At the same time, an adaptive adjustment method of the detection interval is proposed to adapt to the changeable wireless environment, and reduce the detection delay and detection times of the system, thus reducing the detection cost of the system. The specific work is summarized as follows: first, on the basis of summarizing all kinds of definitions and interpretations of cognitive radio in existing literature, this paper designs a simple, open and extensible implementation framework of general cognitive radio function. The construction of cognitive radio data transmission system is focused on the design and implementation of reconfigurable waveform components. The reconfigurable waveform uses GNU Radio open source software radio technology to realize a waveform development platform. It has many adjustable waveform parameters and the ability of fast waveform reconstruction. Second, in the application scenario, the design of detection interval becomes a key point. After fully considering the influence of user signal on data transmission, this paper provides an adaptive adjustment method of detection interval. The purpose of this paper is to consider the influence of the characteristics of CR network on data transmission by combining the distribution characteristics of user signal and noise signal. By combining CUSUM algorithm with variable interval detection algorithm, a new adaptive adjustment method of detection interval is designed, which can improve the quality of service of data transmission without affecting other users. Thirdly, the anti-jamming communication scene experiment based on cognitive radio technology is designed on the platform of data transmission system. The data transmission system can quickly perceive the interference signal (perception), according to the user's anti-interference requirement (plan), quickly make the inference judgment (decision), adjust the waveform parameter (execution), improve the communication efficiency, reduce the interference influence. The scene experiment shows the feasibility of using cognitive radio technology in anti-jamming communication.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN925
本文编号：2390355
[Abstract]:Cognitive radio (CR) is a new technology in the field of intelligent wireless communication. It can perceive the information of the surrounding wireless environment and dynamically adjust the radio operating parameters to meet the needs of users and improve the performance of communication systems. Cognitive radio technology provides a feasible way to solve the contradiction between the increasing demand for wireless services and the lack of spectrum resources. The key technologies of cognitive radio are environment learning, action decision making and parameter reconfiguration. By analyzing and summarizing the research status of related technologies in cognitive radio network, a set of experimental system for data transmission of cognitive radio is established by using USRP (Universal Software Radio Peripheral, (General Software Radio Peripheral). At the same time, an adaptive adjustment method of the detection interval is proposed to adapt to the changeable wireless environment, and reduce the detection delay and detection times of the system, thus reducing the detection cost of the system. The specific work is summarized as follows: first, on the basis of summarizing all kinds of definitions and interpretations of cognitive radio in existing literature, this paper designs a simple, open and extensible implementation framework of general cognitive radio function. The construction of cognitive radio data transmission system is focused on the design and implementation of reconfigurable waveform components. The reconfigurable waveform uses GNU Radio open source software radio technology to realize a waveform development platform. It has many adjustable waveform parameters and the ability of fast waveform reconstruction. Second, in the application scenario, the design of detection interval becomes a key point. After fully considering the influence of user signal on data transmission, this paper provides an adaptive adjustment method of detection interval. The purpose of this paper is to consider the influence of the characteristics of CR network on data transmission by combining the distribution characteristics of user signal and noise signal. By combining CUSUM algorithm with variable interval detection algorithm, a new adaptive adjustment method of detection interval is designed, which can improve the quality of service of data transmission without affecting other users. Thirdly, the anti-jamming communication scene experiment based on cognitive radio technology is designed on the platform of data transmission system. The data transmission system can quickly perceive the interference signal (perception), according to the user's anti-interference requirement (plan), quickly make the inference judgment (decision), adjust the waveform parameter (execution), improve the communication efficiency, reduce the interference influence. The scene experiment shows the feasibility of using cognitive radio technology in anti-jamming communication.
【学位授予单位】：西南科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN925
【参考文献】
相关硕士学位论文 前2条
1 任熠;GNU Radio+USRP平台的研究及多种调制方式的实现[D];北京交通大学;2012年
2 李红娟;基于GNU Radio+USRP的RFID平台及调制方式的研究[D];贵州师范大学;2014年
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