Temperature Drift Compensation Using Multiple Linear Regression for a $W$ -Band Total Power Radiometer

Calibration of radiometer systems using physical temperature monitoring have been developed to compensate the temperature drift. Because calibration standards are not necessary to obtain the system response characteristic, it is good candidate for applications of the limited weight and power. Besides, the estimation of the calibration accuracy could be improved by stable condition based on multiple temperature sensors. In this paper, we analyzed the estimated calibration accuracy under indoor environmental conditions using multiple temperature sensors for a W-band direct detection radiometer system. The method was implemented to obtain the radiometer calibration coefficient based on the relationship between the temperature sensors at multiple positions and the gain variation. The estimated accuracy of the brightness temperature was determined by the temperature sensor response with respect to the receiver gain variation under environmental conditions. The distributed temperature sensors were considered for optimum regression of the radiometer gain variation in a heated environment.