Uncertainty Analysis Of RF Consistency Test System For Satellite Terminal

With the increasing globalization of testing standards,testers have more stringent requirements for accuracy and reliability of measurement results.By analyzing the uncertainty of the test results,we can get the conclusion that the test results are correct and credible.According to the State Administration of Quality Supervision Inspection and Quarantine of the JJF1059-1999 "evaluation and expression of uncertainty in measurement",the uncertainty of measurement to judge the quality of the test method,has been widely used in the calibration and inspection and examination standards.The hardware structure of the radio frequency conformance test system of the satellite terminal is very complex.The uncertainty of the RF index test will be introduced by using this test system.Issued by the Chinese National Accreditation"calibration and testing laboratory accreditation standards",to radio frequency test system with the test function of uncertainty.Compared with foreign countries,our country launched the testing system of the uncertainty of time late a lot,but for the RF conformance test system,the uncertainty is not a set of standard methods of evaluation,based on satellite terminal RF conformance test system of uncertainty is a larger workload,difficult process.In the paper,my writing process is from part to whole,after the hardware structure and operation principle about test system,study the uncertainty assessment procedures and methods of.Then,according to the analysis of the radio frequency consistency test system of the satellite terminal,the uncertainty sources are divided into the uncertainty of the system,the random uncertainty and the uncertainty of the measurement.First,the mathematical model of the system is established,and then the mathematical models of each component are set up to synthesize the uncertainty of the system and get the overall system.Uncertainty.In contrast verification,the feasibility and correctness of the modeling method,the article sums up some suggestions,make the test results more accurate.The innovation of this paper is to achieve a more accurate mathematical model.In this paper,the types of uncertainty of the system are divided into hardware and test methods,radio frequency indicators and environmental impact quantities.The mathematical models are established from these three directions.Will consider all sources of uncertainty,with a corresponding system,a correlation analysis model,no association give,will maximize the range,the result is also more accurate.The advantages of the establishment of mathematical model in this direction is more comprehensive and more accurate,avoid superposition calculation,it will not miss one,so we use this way.In this paper,then the modeling method based on the mathematical model of each component,the total system uncertainty,the uncertainty of the report lists.Based on the above analysis,I developed an automatic processing system for uncertainty analysis.Under the Ubuntu system,the first automatic processing system of uncertainty analysis is developed by using Python language.This system has the advantages of simple operation,simple interface,strong adaptability,convenient management information management more efficient,but also can improve the efficiency of the office of scientific research personnel.The system can be changed according to the measurement results of the change of parameters,can immediately give index uncertainty results in input parameters,customers can understand the instrument characteristics concise in the acceptance of equipment.