共查询到18条相似文献，搜索用时 46 毫秒
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运用开源软件无线电(GNU's Not Unix Radio,GNU Radio)技术和与之配套的通用软件无线电外设(TheSecond-generation Universal Software Radio Peripheral,USRP2),设计出了未知无线电信号自动检测系统。系统采用能量检测法,能够快速识别一定频段内未知无线电信号,并记录其带宽、中心频率和起止时间,同时存储相应的同相正交(Inphaseand Quadrature,IQ)数据,为后续载频的精确估计提供必要的参数。在实际测试中发现,该系统检测速度快、准确率高,对未知强信号检测具有一定的可靠性和实用性。 相似文献
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针对无线通信环境的复杂特性,为了实现无线通信系统快速准确的建模仿真,应用GNU Radio和USRP组成的软件无线电系统作为新的建模仿真方法。介绍并分析该方法的软件特性和硬件架构,进行MPSK调制系统在仿真信道和实际信道下链路模型的误码率对比实验,并在包含实际无线信道的链路模型基础上,设计并实现了一套无线视频流传输原型系统。分析和实验结果表明,新方法能够快速实现无线通信系统原型,将实际无线信道纳入系统模型中,从而获得更准确的仿真和分析结果。该方法适用于对通信协议标准及系统有定制化需求、针对传输环境复杂的无线通信系统研究开发。 相似文献
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GNU Radio:开放的软件无线电平台 总被引：3，自引：0，他引：3
GNU Radio是一种运行于普通PC上的开放的软件无线电平台,其软件代码和硬件设计完全公开。基于该平台,用户能够以软件编程的方式灵活地构建各种无线应用。文章首先结合目前软件无线电技术的发展概况对GNU Radio进行概述;然后介绍了GNU Radio软件以及与之配套的硬件前端USRP(Unversal Software Radio Peripera)l的结构、原理、安装;接下来列举了GNU Radio的几种有代表性的应用;最后总结了GNU Radio的特点,并对其应用和发展前景进行了展望。 相似文献
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针对软件无线电平台多基于USRP开发板进行设计使得成本较高的问题,设计了一种基于Hack RF开发板和GNU Radio开源软件的信号检测和通信系统。系统首先对FM信号接收解析,最终生成音频信号从而通过具体模块进行播放;其次,对特定的频段进行频谱感知,能够轻易地更改需感知的频段范围,并且对频段内的信号进行捕捉、存储和转发;最后,通过软件层面的搭建,实现了对所捕捉信号的调制,并得以在频域和时域中对信号进行实时解析。 相似文献
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针对现有雷达仿真系统的单线程运行模式在处理较大数据量或多任务执行时会造成CPU负担加重、导致系统运行速度缓慢与数据丢失,进而影响仿真测试的实效性等问题,提出了基于GNU Radio软件平台利用其多线程技术与模块化思想,同时设计并使用传输内存地址的方法来搭建雷达信号系统,提升计算机的资源利用率.多线程模式下的系统运行不仅... 相似文献
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天气变化对鱼类养殖和渔业生产作业均有较大影响,为了实现快速的天气预报,该文探讨了使用一种软硬件结合的嵌入式系统来达到快速显示天气云图,能够把大气的变化显示到PC机上的目的.接收的气象数据来自允许民间私用的美国国家海洋和大气管理局的卫星,硬件方面主要使用USRP1与WBX平台实现变频滤波,信号调制,改变采样率,功率放大,... 相似文献
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最新提出了一种在Windows平台上基于USRP的数字对讲机收发系统设计方案。首先简要介绍USRP及其开发平台,通过各种对比选择在Windows平台上利用VC来实现,然后描述了USRP驱动安装,详细分析了UHD重组的API函数接口,最后搭建数字对讲机收发系统,采用DMR数字通信协议,利用USRP作为收发前端,在PC上通过串口RS232连接AMBE-1000语音板,通过实际测试验证了系统的各项功能,证明了USRP在Windows平台上开发简单方便可行。本文网络版地址：http：//www. eepw.com.cn/article/170161.htm 相似文献
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Frequency hopping (FH) is a common characteristic of a wide variety of communication systems. On the other hand, software‐defined radio (SDR) is an increasingly utilized technology for implementing modern communication systems. The main challenge when trying to realize an SDR FH system is the frequency tuning time, that is, the higher the hopping rate, the lower the required frequency tuning time. In this paper, significant universal hardware driver tuning options (within GNU Radio software) are investigated to discover the tuning option that gives the minimum frequency tuning time. This paper proposes an improved SDR frequency tuning algorithm for the generation of a target signal (with a given target frequency). The proposed algorithm aims to improve the frequency tuning time without any frequency deviation, thus allowing the realization of modern communication systems with higher FH rates. Moreover, it presents the design and implementation of an original GNU Radio Companion block that utilizes the proposed algorithm. The target SDR platform is that of the Universal Software Radio Peripheral USRP‐N210 paired with the RFX2400 daughter board. Our results show that the proposed algorithm achieves higher hopping rates of up to 5,000 hops/second. 相似文献
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Avuthu Avinash Reddy Ramesh Babu Battula Dinesh Gopalani Kurra Chaithanya 《International Journal of Communication Systems》2020,33(15)
Spectrum sensing is one of the critical tasks in a cognitive radio system that allows a secondary user to use the spectrum while the primary user does not use it. The energy detection (ED) sensing is one of the most common techniques to identify the unused portions in the spectrum bands. In ED, threshold plays a vital role in signal detection, and noise is one of the significant factors in threshold calculation. However, ED efficiency is degraded by the noise uncertainty phenomenon caused by the random changes in noise level. The adverse effects of noise uncertainty are reduced by changing its detection threshold dynamically to the noise circumstances encountered during each sensing period. In the proposed method, received random samples are arranged in M blocks, applied strong Pearson correlation to separate and estimate the variance from the noise samples. The enhanced dynamic noise variance‐based energy sensing is implemented in GNU radio processing blocks and tested on industrial, scientific, medical (ISM) 2.4 GHz frequency bands by using national instrument universal software radio peripheral (NI USRP‐2932) device. The experimental results of proposed energy detction mechanism are compared with existing sensing techniques. 相似文献
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由于无线通信技术的飞速发展,以及硬件组成性能的限制,当前主流的一些软件无线电(Software Defined Radio,SDR)外设已不能满足无线电研究人员的需求。基于一种面向5G通信自主开发的软件通用平台(Software Universal Platform,SOUP)和无线电软件开发平台GNU Radio,设计搭建了一种符合软件通信架构(Software Communication Architecture,SCA)的软件无线电系统。使用硬件驱动程序PDMA使主机识别SOUP、屏蔽SOUP底层硬件的实现细节,并使得操作系统能够像操作文件一样对SOUP进行操作,再使用GNU Radio的模块开发工具开发出信号源模块和信宿模块,这2个模块的功能就是用来采集和传送I/Q采样信号。通过实现一种传统的模拟通信系统,以验证SOUP_GNU Radio系统的有效性。
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Yingsong Huang Phillip A. Walsh Yihan Li Shiwen Mao 《International Journal of Communication Systems》2014,27(12):3901-3921
Medium access control (MAC) protocols play a vital role in wireless networking. It is well‐known that the high control overhead of IEEE 802.11 MAC is the limiting factor on the throughput and delay performance of wireless networks. In our prior work, three polling service‐based medium access control protocols (PSMACs) are developed to amortize the high control overhead over multiple frame transmissions, thus achieving higher efficiency. Both analysis and simulations are conducted to validate the efficacy of the proposed protocols. In this paper, we extend this work by implementing the distributed version of PSMAC, i.e., PSMAC 2, on the GNU Radio and universal software radio peripheral (GNU Radio/USRP) platform. We discuss various design considerations and challenges of prototyping PSMAC 2 and carry out extensive experimental studies with the GNU Radio/USRP PSMAC testbed. Our experimental results are found to be consistent with the theoretical study reported in our prior work and validate the advantages of PSMAC under a realistic wireless channels. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
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针对复杂环境下,单测量矢量(SMV)条件下的正交频分复用(OFDM)时延估计问题,该文提出了一种基于贝叶斯自动相关性确定(BARD)的稀疏重构时延估计算法。该算法运用贝叶斯框架,从进一步挖掘有用信息的角度入手,引入不对称的自动相关性确定(ARD)先验,融入参数估计过程中,有效提升了低信噪比(SNR)和SMV条件下的时延估计精度。该算法首先基于OFDM信号物理层协议数据单元估计出的信道频域响应构造稀疏化实数域表示模型,然后对模型中的噪声和稀疏系数矢量进行概率假设,同时引入自动相关性确定先验;最后根据贝叶斯框架,通过期望最大化(EM)算法求解超参数,实现对时延的估计。仿真实验表明,该算法具有更好的估计性能,在信噪比较高时更加贴近克拉美罗界(CRB)。同时基于通用软件无线电外设(USRP),利用实际信号对所提算法进行了有效性地验证。 相似文献