Application Of ATS In Wireless Measurement Based On Spectrum Analyzer

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.