基微波辐射计系统设计

Ground-Based Microwave Radiometer System Design

针对国际上地基微波辐射计技术特点和发展趋势以及目前国内地基微波辐射测量技术的研究和工程化开发现状,本文提出一种地基微波辐射计的系统设计方法。该系统采用多通道滤波器组并行接收技术提高系统的信噪比和样本的时间分辨率;同时根据大气温湿度廓线的非线性特点,终端信号处理采用BP神经网络反演算法反演大气的温湿廓线,进一步提高了反演精度。通过对外场试验数据的初步对比分析,可以看出该装备的探测性能与目前国际上主流装备相当,初步验证了装备的准确性和稳定性。

In view of the technical characteristics and development trends of ground-based microwave radiometers in the world and the current research and engineering development status of domestic ground-based microwave radiation measurement technology,a design method of ground-based microwave radiometer system is proposed in this paper.The system uses multi-channel filter bank parallel receiving technology to improve the signal-to-noise ratio of the system and the time resolution of the sample.At the same time,according to the nonlinear characteristics of atmospheric temperature and humidity profiles,BP neural network inversion algorithm is used to retrieve atmospheric temperature and humidity profiles in terminal signal processing,which further improves the inversion accuracy.Through the analysis of field test data,it can be seen that the performance of the equipment is similar to other mainstream equipment,and the accuracy and stability of the equipment are preliminarily verified.