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双语推荐：频谱分析

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在现代战争中,战场频谱管理是夺取制电磁频谱权的重要保障。针对当前战场频谱管理的热点问题,通过介绍动态频谱管理因素、基于服务的动态频谱管理体系架构、动态频谱管理层次分析和动态频谱管理系统模型,对动态频谱管理技术进行研究,并详细分析了系统级动态频谱管理和网系级动态频谱管理。
In modern warfare, spectrum management on battlefield is the important guarantee to seize electromagnetic rights. According to the current hotspot issues of spectrum management on battlefield, the basic factors, architecture, hierarchical analysis and system model of dynamic spectrum management are introduced to research dynamic spectrum management technology. Both system-level and network-level of dynamic spectrum management are analyzed in detail.

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LabVIEW 是虚拟仪器领域中最具代表性的图形化编程开发平台，利用该平台设计了信号产生与分析系统，并从信号发生器、时域及频域测量三方面展开阐述，其中包括波形产生，时域参数测量，频谱分析，信号 ZoomFFT 分析等。频域分析系统除了基本频谱分析外，具体阐述了细化频谱 ZoomFFT 算法的原理，使得该频谱系统能够更实时高效的处理分析频谱密集型信号。
This paper,which is using the pIatform,designs an anaIysis of the signaI system.The signaI generator is expIained from three aspects,incIuding the time domain and frequency domain measurement.The system shows waveform,measuring the pa-rameters of time domain,frequency spectrum anaIysis,signaI ZoomFFT anaIysis,etc.Frequency domain anaIysis systemexhibits basic frequency spectrum anaIysis,in addition to expounds the principIe of spectrum ZoomFFT refinement aIgorithm.

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频谱分析是信号处理中的一种重要分析手段,各种频谱分析设备是工程分析以及高校教学科研的常用测试仪器,传统的频谱分析仪体积庞大、价格昂贵,功能单一,本文以LabWindows/CVI为软件开发平台,完成了虚拟频谱分析仪的设计,同时验证其正确性和可行性,从而弥补传统仪器的不足。
Spectrum analysis is a very important method in signal processing. Various spectrum analysis facilities are common testing machines for engineering and teaching & scientific research. However, the traditional instrument is bulky and expensive with single function. In this paper, a virtual frequency spectrum analyzer based on the LabWindows/CVI software development platform was designed and its validity and feasibility were verified .

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介绍了战场频谱态势感知及频谱筹划系统的系统功能、组成、工作过程、关键技术及解决途径,通过分析指出频谱态势感知及频谱筹划系统与C4ISR系统集成可提高战场频谱管理的整体能力。
The battlefield spectrum situation awareness and planning system is presented in this paper. Sys-tem functions, composition,operation and key techniques of the system are also discussed. Through analysis, it is pointed out that the system integrated with C4 ISR systems can improve the whole capability of battlefield spectrum management.

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频谱感知技术是认知无线电系统实现的前提和基础。由于无线衰落环境下单节点频谱感知结果可靠性不高，主要讨论协作频谱感知中的中继协作频谱感知技术。针对单个中继节点的协作频谱感知网络，分析了在AF协议下的频谱感知结果。导出了在瑞利衰落环境下中继节点参与协作感知的检测概率上限的闭合表达式，并进行了数值仿真。数值分析结果表明中继节点参与协作能够提高频谱感知性能。
Spectrum sensing technology is the premise and basis of the realization of cognitive radio. As the performance of single node spectrum sensing is not reliable because of wireless fading environment, relay-based cooperative spectrum sensing is discussed. For cooperative spectrum sensing network with single re-lay node, this paper analyzes the performance of cooperative spectrum sensing with amplify and forward protocol. The closed-form expression of the upper bound of the detection probability is derived in Rayleigh fading channels when the relay node is participating in cooperation. Numerical results show that the relay node participating in cooperation could improve the spectrum sensing performance.

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为了更好地在飞机机舱内复用宝贵的无线频谱,将认知无线电技术应用于无线内通系统中是非常有必要的,然而在机舱内实现快速可靠的频谱感知则是实现高效频谱复用的基础。本文以此目的,研究了基于最快检测技术的频谱感知算法在机舱内频谱感知中的适用性。在分析了频谱感知性能需求的基础上,将频谱感知问题归结为非贝叶斯最快检测问题,并介绍了基于累积和Cumulate Sum的频谱感知算法的具体检测步骤。分析结果表明,基于最快检测的频谱感知算法可以解决常规的频谱感知算法检测延迟长、存在信噪比门限效应的问题。
In order to take full advantage of the valuable radio frequency spectrum inside the aircraft cabin, it is necessary to apply cognitive radio in wireless cabin communication system. However, the fast and reliable frequency spectrum sensing is the base of achieving efifcient reuse spectrum. So, this paper studied the adaptation of spectrum sensing algorithm based on quickest detection, and deduced the spectrum sensing problem as Non-Bayesian quickest detection problem on the basis of analyzing the spectrum sensing performance requirement, and introduced the detailed detection steps of spectrum sensing algorithm based on CUSUM (Cumulate Sum) . The result shows that the algorithm can conquer the problem of long detection delay and SNR wal phenomenon.

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随着无线电技术与业务的迅速发展,无线电频谱资源的广泛应用与其稀缺特性形成的供需矛盾日益突出,亟需探寻有效的频谱管理模式。首先对国外无线电频谱的分配和收费管理模式进行总结,比较研究行政机制和市场机制两种频谱管理模式。其次,基于公共物品理论对频谱资源进行分类,并阐述每类频谱资源的管理特点。最后分析了我国频谱管理现状和问题,并借鉴国外无线电频谱管理经验,提出未来中国频谱管理参考建议。
With the extensive use of radio technology and the popularity of radio business , the demand for the radio frequency resources is increasing.The method of effectively managing the radio spectrum to reduce the contradiction of spectrum supply and demand is becoming the focus of many administration departments.Firstly, spectrum management policies in foreign countries are introduced , and a comparative analysis of two radio spec-trum management modes, that is, the administrative mechanism and the market mechanism is made.Secondly, on the basis of theory of public goods , the spectrum is categorized and the management features of each category are illustrated.Finally, some pieces of advice are put forward to promote the spectrum management in China based on the analysis of the current management situation in China and foreign spectrum management experience for reference.

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为了提高频谱利用效率,构建一个基于实测数据的频谱管理系统。通过建立属性数据库,采用面向对象语言C#访问Access数据库的方法,将频谱实测数据与地图化组件MapX进行数据绑定,然后将频谱测量数据嵌入到地理信息系统中,实现可视化的频谱管理系统。测试结果表明,该系统能够实现频谱属性数据和图形数据的定位查询,完成频谱数据分析,提高空闲频谱的综合利用。
In order to improve efficiency of the spectrum utilization,a spectrum management sys-tem based on measured data is built in this paper.The spectrum measured data and Map compo-nent MapX can be data binded through the establishment of attribute database and using the method of object oriented language C# to access the Access database.The measured data of the spectrum is then embedded into geographic information system to realize the visualization of spec-trum management system.The test results show that the system can realize the positioning query of spectrum attribute data and graphic data,the spectral data analysis and therefore improve the comprehensive utilization of idle spectrum.

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SIMULINK是一个进行动态系统建模和仿真分析的软件包,其最大特点是可在仿真过程中改变系统参数,实时观察系统行为的变化。利用SIMULINK平台对一种融入了频谱感知和频谱分割技术的卫星抗截获通信系统进行仿真,该通信系统通过频谱感知技术获取频谱空隙的分布情况,然后利用频谱分割技术将信号频谱进行分散化,插入并隐蔽在正常通信频谱之中实现隐蔽通信。通过SIMULINK仿真分析,可得到从调制、分割、到聚合和解调等各个环节的的卫星通信系统的眼图和频谱图及其相关的频域技术数据,可用于指导硬件设计。
The SIMULINK is a software package for dynamic system modeling and simulation analysis, its most important feature is that the system parameters can be changed during simulation to observe in real time the change of systems behavior. The simulation of anti-interception satellite communication system integrating with spectrum sensing and spectral splicing technologies is carried out by using the SIMULINK platform. The communication system obtains the distribution of spectral gap by spectrum sensing technology, and then uses the spectral splicing technology to disperse the signal spectrum which is inserted and hid in normal spectrum to achieve the covert communication. By the SIMULINK simulation analysis, the eye pattern, spectrum graph and related frequency domain technical data of satellite communication system can be obtained from modulation, division to combination and demodulation. The data can be used for guidance of hardware design.

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介绍了利用DFT分析信号频谱的基本流程,重点阐述了利用DFT分析信号频谱时产生误差的原因,即存在的频谱混叠、频谱泄漏及栅栏效应,并提出了相应的改进方法。实例列举了MATLAB环境下DFT分析信号频率分辨率的影响因素,通过与理论分析的对比,解释了提高频率分辨率与计算分辨率的方法。
The process of spectrum analysis by discrete fourier transform (DFT ) is introduced in this paper ,the reason of error is explained in detail when the signal spectrum is analyzed by DFT ,that is to say ,when there are the spectrum aliasing ,spectrum leakage and picket fence effect in the system ,and the improved method is put forward accordingly .The application procedures are listed in the MATLAB ,the methods of improving the frequency resolution are explained .

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