基于频谱仪的无线自动测试系统与信号特性分析
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摘要
测试工作是评估和优化无线网络的一种基本方法,研究测试技术和测试系统的发展及其应用具有十分重要的意义。随着通信技术和计算机技术的飞速发展,通信测试仪表的智能化程度在飞快地提高。传统的通信测试仪表在功能、效率和准确性上已经远远满足不了现在的测试需求。为了更好地利用通信仪表,提高测试的效率和准确性,增加仪表的使用寿命,可以利用互连技术把具备相应接口的通信仪表和计算机连接起来组成一个自动测试系统。通过自动测试软件,可以实现对仪表的控制,自动完成复杂、繁琐的测试工作,避免人为因素造成的误差。通过计算机完成大量的统计、计算工作,测量结果可以用数据、图形、表格和其它希望的方式给出,结果一目了然。随着计算机网络技术的发展,还可通过计算机网络实现自动测试的远程监控。
本课题利用德国R&S公司生产的便携式手持频谱分析仪FSH6设计自动测试系统,测试系统硬件平台包括FSH6(100K-6GHz)、计算机、RS232光接口到USB接口的转换连接线、接收天线等。通过该自动测试系统对移动网络无线信号进行测试,运用SPSS统计工具和时间序列分析方法对大量实测数据进行分析,从而对无线信号的变化进行预测,为网络的维护和优化提供依据。
本文简要介绍了频谱分析原理和无线移动通信电波传播特性。在此基础上利用基于频谱仪的自动测试系统对无线网络信号进行测试,对测试结果进行分布特性分析,进而建立时间序列模型,对测试结果进行时域处理和预测分析。本文介绍了预测的基本知识,对各种预测方法进行比较和研究,详细阐述了将线性随机预测模型应用于无线信号特性预测的实现过程,并探讨了各种模型在实际应用中的适用范围和影响预测结果的主要因素,总结了各预测模型的异同和优缺点。本文不仅在理论上对几种常用的预测模型进行了探讨,而且进行了预测系统的设计,尤其注重于将理论转化为实践的实用性与可行性。
Testing is a basic method for evaluating and optimizing the wireless network. It is very important to research the development and application of test technologies and test system.With the the rapid development of communication and computer technology, the intelligent degree of test instruments is increasing very fast. Traditional communications test instruments already far from meeting the needs of today's test in functionality, efficiency and accuracy. In order to make better use of communication devices to improve the test efficiency and accuracy and increase the life of the instruments,we can connect the instruments with computers together as an automatic test system by using the technology of interconnects.We can control the instrument by using software to complete complex test while avoid errors caused by human factors.A large number of statistic and calculation work can be done by using computer. The measurement results can be given as the format of data, graphics, tables, and so on which makes it very clear. With the development of computer network technology,remote monitoring of automate test can also be achieved.
This paper uses the R&S portable handheld spectrum analyzer FSH6 to design automatic test system. The hardware platform of the test system including FSH6(100KHz-6GHz),PC, RS232 optical to USB interface converter cable,antenna and so on.Remote monitoring for the wireless signals of mobile networks can be achieved by the automatic test system. Use the SPSS statistical tool and time series analysis method to deal with the large number of experimental data, and then predict the changes in the wireless signal.This would provide the basis for the maintenance and optimization of the mobile network.
This paper introduces the principles of spectrum analysis and wireless signal propagation characteristics of mobile communications.On this basis, use the spectrum analyzer based on the automatic test system to test the signal of wireless network. Then the distribution characteristics of the test results are analyzed and the time-series models are established to process the test results.This paper introduced the basic knowledge of forecasting, compared and researched various forecasting methods, especially the exponential smoothing model and the linear stochastic model.Detailed implementation process on how to apply the linear stochastic model to predict the wireless signal characteristics was illustrated.The practical application scope of all kinds of models and the main factors for impacting the forecast results was discussed.The advantages and disadvantages of different forecasting models were also summed up.In short, this article not only researched the commonly used forecasting models theoretically, but also designed the forecasting system. It expressly emphasis the practicality and feasibility on how to transform theory into practice.
本课题利用德国R&S公司生产的便携式手持频谱分析仪FSH6设计自动测试系统,测试系统硬件平台包括FSH6(100K-6GHz)、计算机、RS232光接口到USB接口的转换连接线、接收天线等。通过该自动测试系统对移动网络无线信号进行测试,运用SPSS统计工具和时间序列分析方法对大量实测数据进行分析,从而对无线信号的变化进行预测,为网络的维护和优化提供依据。
本文简要介绍了频谱分析原理和无线移动通信电波传播特性。在此基础上利用基于频谱仪的自动测试系统对无线网络信号进行测试,对测试结果进行分布特性分析,进而建立时间序列模型,对测试结果进行时域处理和预测分析。本文介绍了预测的基本知识,对各种预测方法进行比较和研究,详细阐述了将线性随机预测模型应用于无线信号特性预测的实现过程,并探讨了各种模型在实际应用中的适用范围和影响预测结果的主要因素,总结了各预测模型的异同和优缺点。本文不仅在理论上对几种常用的预测模型进行了探讨,而且进行了预测系统的设计,尤其注重于将理论转化为实践的实用性与可行性。
Testing is a basic method for evaluating and optimizing the wireless network. It is very important to research the development and application of test technologies and test system.With the the rapid development of communication and computer technology, the intelligent degree of test instruments is increasing very fast. Traditional communications test instruments already far from meeting the needs of today's test in functionality, efficiency and accuracy. In order to make better use of communication devices to improve the test efficiency and accuracy and increase the life of the instruments,we can connect the instruments with computers together as an automatic test system by using the technology of interconnects.We can control the instrument by using software to complete complex test while avoid errors caused by human factors.A large number of statistic and calculation work can be done by using computer. The measurement results can be given as the format of data, graphics, tables, and so on which makes it very clear. With the development of computer network technology,remote monitoring of automate test can also be achieved.
This paper uses the R&S portable handheld spectrum analyzer FSH6 to design automatic test system. The hardware platform of the test system including FSH6(100KHz-6GHz),PC, RS232 optical to USB interface converter cable,antenna and so on.Remote monitoring for the wireless signals of mobile networks can be achieved by the automatic test system. Use the SPSS statistical tool and time series analysis method to deal with the large number of experimental data, and then predict the changes in the wireless signal.This would provide the basis for the maintenance and optimization of the mobile network.
This paper introduces the principles of spectrum analysis and wireless signal propagation characteristics of mobile communications.On this basis, use the spectrum analyzer based on the automatic test system to test the signal of wireless network. Then the distribution characteristics of the test results are analyzed and the time-series models are established to process the test results.This paper introduced the basic knowledge of forecasting, compared and researched various forecasting methods, especially the exponential smoothing model and the linear stochastic model.Detailed implementation process on how to apply the linear stochastic model to predict the wireless signal characteristics was illustrated.The practical application scope of all kinds of models and the main factors for impacting the forecast results was discussed.The advantages and disadvantages of different forecasting models were also summed up.In short, this article not only researched the commonly used forecasting models theoretically, but also designed the forecasting system. It expressly emphasis the practicality and feasibility on how to transform theory into practice.
引文
[1]秦红磊,路辉,郎荣玲.自动测试系统硬件及软件技术.高等教育出版.2007.
[2]美国国家仪器有限公司,最新总线技术在仪器控制与连接方面的远景.美国国家仪器有限公司.
[3]美国国家仪器有限公司,虚拟仪器(白皮书).美国国家仪器有限公司.
[4]Wang Pinglian, Yuan Sumin. Automated Measurement System for Wireless Transmitters. The Eighth International Conference on Electronic Measurement and Instruments. ICEMI'2007. 975-977.
[5]Zhuo Jiajing, Meng. Research on the Resource Management in ATS.The Eighth International Conference on Electronic Measurement and Instruments. ICEMI'2007.939-942.
[6]Zhihua Xie, Xunbo Li, Yan Shen, Taiwen Yuan and Zhibin Zhu. Reconfigurable ATS Based On Software Bus. Proceedings of 2008 IEEE International Conference on Mechatronics and Automation.892-897
[7]Baojiang Sun, Honglei Qin and Shituan Shen. An Automatioc Design Technique for Hardware System of ATS,Systems Readiness Technology Conference,2006 IEEE.386-396.
[8]HU Leigang, XIAO Mingqing. The Future of Automatic Test System (ATS) Brought by Cloud Computing, AUTOTESTCON,2009 IEEE.412-414.
[9]章辉,寿国础,胡怡红.移动网无线信号变化预测研究[J].电子测量与仪器学报,2008,22(4),44-48.
[10]Gao tiemei, Econometric analysis and modeling, Tsinghua University Press, Beijing,2006.
[11]Guoqiang Yu, Changshui Zhang. Switching ARIMA Model Based Forecasting for Traffic Flow. ICASSP,2002 IEEE.429-432.
[12]Yantai Shu,Minfang Yu, and Jiakun Liu. Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models. Communications,2003. ICC'03. IEEE International Conference. 1675-1679.
[13]Wei Guan, Xie Hua. A Combination Forecasting Model of Urban Ring Road Traffic Flow. 2006 IEEE Intelligent Transportation Systems Conference 671-676.
[14]寿国础等.移动网无线信号的远程监测[J].仪器仪表学报,2006,27(11)；1520-1522.
[15]G.Box,G.Jenkins, and C.Reinsel. Time Series Analysis; Forecasting and Control [M]. Englewood Cliffs,NJ;Prentice-Hall,1994,231-245.
[16]Fugen.T, Maurer.J, Kayser.T, Wiesbeck.W.Capability of 3-D Ray Tracing for Defining Parameter Sets for the Specification of Future Mobile Communications Systems. Antennas and Propagation,2006 IEEE Transactions.3125-3137.
[17]Wang Zhixiao, Dong Fuguo. Realization of Virtual Oscillograph Based on USB. The Eighth International Conference on Electronic Measurement and Instruments. ICEMI'2007.3-141— 3-144.
[18]George E.Geathers. The IVI foundation signal interface; a new industry standard.2001. IEEE Systems Readiness Technology Conference.497-503.
[19]Qian Feng, Meng Chen, Luo Jin. ATS Software Architecture Based on Function Interface. The Eighth International Conference on Electronic Measurement and Instruments. ICEMI' 2007.2-283—2-287.
[20]Cheij. D. A software architecture for building interchangeable test systems. AUTOTESTCON Proceedings,2001.IEEE Systems Readiness Technology Conference.16-22.
[21]易丹辉.统计预测—方法与分析.北京：中国统计出版社,2001.
[22]张威.GSM网络优化—原理与工程.第一版.北京：人民邮电出版社,2003.88-100,241-243.
[23]Yue-wei Ding, Study of Combination Forecasting Model [J], Journal of Xi'an Highway University, Vol.17, No.4,1997.
[24]宇传华.SPSS与统计分析.北京：电子工业出版社,2007.
[25]薛薇.SPSS统计分析方法及应用.北京：电子工业出版社,2009.
[2]美国国家仪器有限公司,最新总线技术在仪器控制与连接方面的远景.美国国家仪器有限公司.
[3]美国国家仪器有限公司,虚拟仪器(白皮书).美国国家仪器有限公司.
[4]Wang Pinglian, Yuan Sumin. Automated Measurement System for Wireless Transmitters. The Eighth International Conference on Electronic Measurement and Instruments. ICEMI'2007. 975-977.
[5]Zhuo Jiajing, Meng. Research on the Resource Management in ATS.The Eighth International Conference on Electronic Measurement and Instruments. ICEMI'2007.939-942.
[6]Zhihua Xie, Xunbo Li, Yan Shen, Taiwen Yuan and Zhibin Zhu. Reconfigurable ATS Based On Software Bus. Proceedings of 2008 IEEE International Conference on Mechatronics and Automation.892-897
[7]Baojiang Sun, Honglei Qin and Shituan Shen. An Automatioc Design Technique for Hardware System of ATS,Systems Readiness Technology Conference,2006 IEEE.386-396.
[8]HU Leigang, XIAO Mingqing. The Future of Automatic Test System (ATS) Brought by Cloud Computing, AUTOTESTCON,2009 IEEE.412-414.
[9]章辉,寿国础,胡怡红.移动网无线信号变化预测研究[J].电子测量与仪器学报,2008,22(4),44-48.
[10]Gao tiemei, Econometric analysis and modeling, Tsinghua University Press, Beijing,2006.
[11]Guoqiang Yu, Changshui Zhang. Switching ARIMA Model Based Forecasting for Traffic Flow. ICASSP,2002 IEEE.429-432.
[12]Yantai Shu,Minfang Yu, and Jiakun Liu. Wireless Traffic Modeling and Prediction Using Seasonal ARIMA Models. Communications,2003. ICC'03. IEEE International Conference. 1675-1679.
[13]Wei Guan, Xie Hua. A Combination Forecasting Model of Urban Ring Road Traffic Flow. 2006 IEEE Intelligent Transportation Systems Conference 671-676.
[14]寿国础等.移动网无线信号的远程监测[J].仪器仪表学报,2006,27(11)；1520-1522.
[15]G.Box,G.Jenkins, and C.Reinsel. Time Series Analysis; Forecasting and Control [M]. Englewood Cliffs,NJ;Prentice-Hall,1994,231-245.
[16]Fugen.T, Maurer.J, Kayser.T, Wiesbeck.W.Capability of 3-D Ray Tracing for Defining Parameter Sets for the Specification of Future Mobile Communications Systems. Antennas and Propagation,2006 IEEE Transactions.3125-3137.
[17]Wang Zhixiao, Dong Fuguo. Realization of Virtual Oscillograph Based on USB. The Eighth International Conference on Electronic Measurement and Instruments. ICEMI'2007.3-141— 3-144.
[18]George E.Geathers. The IVI foundation signal interface; a new industry standard.2001. IEEE Systems Readiness Technology Conference.497-503.
[19]Qian Feng, Meng Chen, Luo Jin. ATS Software Architecture Based on Function Interface. The Eighth International Conference on Electronic Measurement and Instruments. ICEMI' 2007.2-283—2-287.
[20]Cheij. D. A software architecture for building interchangeable test systems. AUTOTESTCON Proceedings,2001.IEEE Systems Readiness Technology Conference.16-22.
[21]易丹辉.统计预测—方法与分析.北京：中国统计出版社,2001.
[22]张威.GSM网络优化—原理与工程.第一版.北京：人民邮电出版社,2003.88-100,241-243.
[23]Yue-wei Ding, Study of Combination Forecasting Model [J], Journal of Xi'an Highway University, Vol.17, No.4,1997.
[24]宇传华.SPSS与统计分析.北京：电子工业出版社,2007.
[25]薛薇.SPSS统计分析方法及应用.北京：电子工业出版社,2009.