Based On Gps Altitude Meteorological Observation Ground Systems, Software Design And Implementation

High-altitude meteorological observation system based on GPS(Global Position System)is the future development trend of high-altitude meteorological observation. To state the growing appetite of meteorological observation, and improve the whole level of meteorological observations, we should focus on developing a new generation of radiosonde systems with improved meteorological sensors, data processing and other key technology, to reach the international adcanced level.The GPS aerological sounding system is comprised of GPS radiosonde and ground receiving-processing system. The role of GPS radiosonde is to measure the GPS, temperature, humidity, pressure and other information in high altitude, and the role of the ground receiving-processing system is to receive and caculate them.This paper is to study how the ground receiver transmits the receiving PTU- and GPS-module digital signal from GPS radiosonde to the computer, then the computer collectes and calibrates these information with the ground temperature, air pressure, humidity and wind data. Since the atmospheric environment can not be imitated, it had to measure the various parameters by the ball. Our main content was to study how the variety of sensors to reflect the real atmospheric environment, whether the data obtained was accurate and how was it displayed and so on.Our main content for this study were as followed: firstly, formulated the communication protocol for the system and completed the transmission and analysis of the data for the high-altitude meteorological observation; Secondly, completed the selection and calibration for the variety of sensors, and established the mathematical models and algorithms to ensure the sensors can reflect the atmospheric environment accurately; finally, completed the display software of the high-altitude meteorological observation system, so that the real-time data and curves of atmosphere could be displayed. To make the curves much smoother by the methods least squares, D-value and filtering.