Aiming at the relationships of the high altitude meteorological parameters, such as longitude, latitude, atmospheric pressure, temperature and humidity, the methods of least squares fitting test data and error analysis by MATLAB are proposed in this paper. Temperature, humidity and air pressure change curve equations are established at the different longitude, latitude and altitude, and the influence of temperature and pressure on humidity detection accuracy is analyzed. The results show that the temperature fitting residual error is in −3 (°C) ∼ + 4 (°C), humidity fitting residual error is in −7% ∼ + 5%, the detection error precision is improved effectively, which can provide reliable compensation theory basis for signal detection.
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