针对军用认知系统感知阶段的干扰技术研究

随着认知无线电这一动态频谱利用技术的兴起,其在军事领域的应用也受到越来越广泛的重视,而基于认知无线电系统的对抗技术研究更成为了其未来在军事领域发展的关键。从军用认知无线电系统的角度,提出简化的认知环和相应的认知对抗环,在对系统关键参数进行估计的基础上,根据感知阶段的技术特点,提出了军用认知无线电系统感知阶段的干扰策略。     

一种软件无线电与认知引擎的接口实现方法

该文主要讨论在基于软件无线电的认知系统中,软件无线电平台和认知引擎的接口实现。文中提出了一种基于XML语言描述的接口实现方法,并简单举例说明了如何对软件无线电平台处理能力和认知引擎配置参数进行描述,进而又阐述了软件定义无线电平台与认知引擎间的信息传递方式。文章为在软件定义无线电台上构建认知无线电提供了一种简单,可行的实现方法,同时提高了认知无线通信系统的开放性。     

认知无线电技术在广电中的应用

介绍了认知无线电技术的发展背景和当前的研究状况,论述了发展认知无线电的重要性,讨论了认知无线电领域的几种关键技术,论述了认知无线电在广电领域的应用范围和发展前景。举例说明了广电运营商可通过认知无线电系统接入除传统电视业务之外的多种业务。     

Application of Cognitive Radio in TV and Radio Field

介绍了认知无线电技术的发展背景和当前的研究状况,论述了发展认知无线电的重要性,讨论了认知无线电领域的几种关键技术,论述了认知无线电在广电领域的应用范围和发展前景.举例说明了广电运营商可通过认知无线电系统接入除传统电视业务之外的多种业务.     

认知技术在电子战装备中的发展分析

认知技术诞生来源于两方面,一个是军事方面,美国早在20世纪60年代出的自适应跳频技术,另一个是民用方面,从软件无线电发展到认知无线电。目前,认知这个概念被应用到了雷达和电子战装备中,为未来信息作战系统向智能化发展起了极大的推动作用。首先介绍认知技术的背景和发展现状,进一步描述认知技术在雷达以及行为学习型电子战上的典型应用,最后指出认知技术在未来电子战装备系统上的发展趋势。     

认知无线电多级智能代理模型设计

认知无线电系统是能够根据无线电的内部状态和外部环境的变化而变化且能调整其行为,如果内部状态和外部环境的变化超出了系统事先规定的行为集,系统将可能停止相关的操作。将本体论引入认知无线电系统的知识的学习与表示层面,用多智能体的相关理论来构建认知无线电系统多级智能代理模型,来实现认知无线电系统强大的"认知"功能。通过分析基于本体及多智能体的代理模型具有很好的实际应用前景,将是认知无线电的发展趋势之一。     

认知无线电中人工智能技术的应用

文章先简要概述了认知无线电,然后归纳了几种适用于认知无线电的人工智能技术,最后实例介绍了在认知无线电中人工智能技术的应用,从而明白实现认知无线电的关键是人工智能技术在无线电中的成功应用。     

认知无线电关键技术研究

认知无线电技术是一种崭新的提高频谱利用率的解决方法,而自适应OFDM技术则以其具有频谱利用率高、抗多径性能强、可自适应地改变传输参数等特点而非常适合于认知无线电系统的应用。文中在研究了认知无线电系统关键技术的基础上,将认知无线电系统分类为分布式系统以及集中式系统两种应用场景,然后着重对分布式场景中的功率控制和频谱资源管理问题进行了深入研究,并在假设的认知无线电网络环境中对系统性能进行了仿真分析。     

认知无线电技术在卫星通信中的应用研究

文章详细介绍了卫星通信技术特点,认知无线电技术应用情况、系统资源分配技术模型等;基于OFDMA多址接入方式;分析了认知无线电技术在卫星通信系统中的应用状况;对认知无线电卫星通信系统模型算法进行了设计。     

基于OpenLTE的LTE系统的研究与实现

文章首先介绍了开源软件无线电系统Open LTE。重点分析Open LTE的软硬件平台,详细分析Open LTE的系统框架,对整套系统的各个功能模块进行了介绍。最后经过调试在通用软件无线电平台上成功运行,验证Open LTE实现LTE系统的可行性,能够为研究LTE和相关科研教学工作人员提供一个更加符合真实应用场景的实验验证平台。     

基于认知无线电的载波聚合技术

为了取得高达1 Gbit/s的峰值数据速率,3GPP LTE版本10引入载波聚合技术来扩展系统带宽,使其高达100 MHz.同时,认知无线电技术的发展也将促进各种新兴应用程序的发展,例如,公共安全、智能电网、宽带蜂窝网络等.因此,提出将载波聚合技术与认知无线电技术有效结合,利用载波聚合技术将使用认知无线电技术探测到的空闲频谱进行聚合,并将这两种技术协作得到的带宽资源按比例公平算法进行分配,通过仿真结果验证此项结合带来的带宽与传输速率的提高.毋庸置疑,此项创新将使未来无线通信发生革命性的变化.     

Securing cognitive radio networks

Cognitive radio is a promising technology aiming to improve the utilization of the radio electromagnetic spectrum. A cognitive radio device uses general purpose computer processors that run radio applications software to perform signal processing. The use of this software enables the device to sense and understand its environment and actively change its mode of operation based on its observations. Unfortunately, this solution entails new security challenges. Our objective in this paper is to analyze the security issues of the main recent developments and architectures of cognitive radio networks. We present vulnerabilities inherent to those systems, identify novel types of abuse, classify attacks, and analyze their impact on the operation of cognitive radio‐based systems. Moreover, we discuss and propose security solutions to mitigate such threats. Copyright © 2010 John Wiley & Sons, Ltd.     

喷泉码在认知无线电网络中的应用

认知无线电网络被认为是实现动态频谱共享、缓解频谱资源紧缺的重要途径。喷泉码能有效抵抗认知无线电网络中来自主用户的突发干扰,且无需反馈重传,从而为认知无线电网络提供了一种有效的信道编码方案。首先简介了数字喷泉码以及认知无线电网络基础知识,然后综述了数字喷泉码在认知无线电网络的链路建立、认知通信以及在资源分配中的应用现状,最后指出了在这一研究领域中需要解决的问题,并展望了发展前景。     

认知无线电关键技术及应用的研究现状

归纳了认知无线电功能的演进,讨论了其相关频谱政策和标准化工作的进展,并重点对频谱侦听和主用户检测、动态频谱分配、功率控制等关键技术及认知无线电在无线区域网、ad hoc网络、UWB系统中应用的研究现状进行了分析.在此基础上探讨了认知无线电技术未来发展值得关注的热点问题.     

网络编码在认知无线电中的应用

研究了网络编码应用到认知无线电中的可能,发现在认知无线电中应用网络编码技术,可以减少非授权用户和授权用户的冲突概率,增加无线网络的实际吞吐率.最后通过仿真验证了网络编码优化认知无线电网络性能的有效性.     

Opportunistic channel allocation decision making in cognitive radio communications

The global spread of wireless devices with mobile Internet access and the increasing demand of multimedia‐based applications are fueling the need for wireless broadband networks. IEEE 802.16 and 802.20 are standards for a broadband wireless access with promising cognitive radio features to support mobile Internet access. However, because of the fast changing radio environment and the demand for dynamic spectrum allocation mechanisms, these standards must continuously readjust different radio parameters. The cognitive radio makes decisions based on its built‐in inference engine, which also in time can adapt itself to different situations through the process of learning from experience. In this paper we present an automated opportunistic decision making and learning process for cognitive radio based on uncertainty reasoning algorithms. This novel approach is well suited in fast changing wireless environments with vague, incomplete, and heterogeneous information. Theory and simulations prove that decision making and learning of the cognitive radio based on the proposed approach cope with the changes in the radio environment. In this work we use fuzzy logic for the learning and decision making of the cognitive radio. Simulation also show that our approach provides accurate and precise decisions on allocating spectrum to mobile Internet users even in fast varying radio conditions. Copyright © 2012 John Wiley & Sons, Ltd.     

基于认知无线电的OFDM智能侦察监测系统

自适应正交频分复用(OFDM)技术在军事和民用通信领域中都具有广泛的应用。重点研究认知无线电技术在智能侦察监测系统中的应用,建立基于认知无线电的OFDM信号智能侦察监测接收系统模型,结合系统需求和实现可能性,搭建基于软件无线电技术(SDR)的智能侦察监测系统,并分析系统构建的合理性、技术的有效性,为将来的工程实践打下基础。     

Trusted cognitive radio networking

Networking cognitive radios and nodes from primary system (PS) results in a heterogeneous coexisting multi‐radio wireless network, so that significant network throughput gain can be achieved. However, by investigating cognitive radio network (CRN) architecture, the links in CRNs are unlikely to support complete security check due to link dynamics, opportunistic availability, and uni‐directional in available time window. We therefore introduce trusted cognitive radio networking (TCRN) concept to facilitate network functions such as association in dynamic spectrum access and routing. First of all, we explore the mathematical framework for trust in CRNs. We then show successful association of node to CRN based on the mathematical structure of trust from statistical decision theory. Furthermore, we modify the machine‐learning algorithm to update the trust measure for each node, and develop rules of thumbs to facilitate TCRN with learning capability, based on numerical simulations. Trusted CRN can greatly alleviate heterogeneous challenge for CRN operation. Copyright © 2009 John Wiley & Sons, Ltd.     

认知无线电网络架构与协议体系

认知无线电网络具有动态、灵活、智能地使用频谱资源,提高频谱利用率的特点,其网络结构和协议体系的设计是实现上述网络功能的关键。现有基于认知无线电技术的网络架构主要有美国的CORVUS系统,基于IEEE 802.22的无线局域网(WRAN)和支持多信道多接口的无线Mesh网络;协议体系有CORVUS协议体系,军用的XG系统协议及WRAN协议等。     

一种新的认知无线电功率分配算法（英文）

Most resource allocation algorithms are based on interference power constraint in cognitive radio networks.Instead of using conventional primary user interference constraint,we give a new criterion called allowable signal to interference plus noise ratio(SINR) loss constraint in cognitive transmission to protect primary users.Considering power allocation problem for cognitive users over flat fading channels,in order to maximize throughput of cognitive users subject to the allowable SINR loss constraint and maximum transmit power for each cognitive user,we propose a new power allocation algorithm.The comparison of computer simulation between our proposed algorithm and the algorithm based on interference power constraint is provided to show that it gets more throughput and provides stability to cognitive radio networks.