As the main medium of radio wave propagation

atmospheric profiles influence the operating range of radio systems and the accuracy of navigation and location systems. Therefore

the research on the techniques of microwave remote sensing for atmospheric profiles

especially their abnormal structure

is important for evaluating the performance of radio information systems and improving the accuracy of radio refraction correction in complex atmospheric environment. A microwave radiometer provides continuous thermodynamic (temperature

water vapor and moisture) soundings during clear and cloudy conditions. The radiometric profiler observes radiation intensity along with zenith infrared and surface meteorological measurements. Historical radiosonde and neural network or regression methods are used for profile retrieval. The southeast coastal area of China has always been a research hot spot. In this study

radiosonde data of Qingdao

Sheyang

Xiamen and Haikou were selected to compute the average height and thickness of the atmospheric waveguide. We carried out a preliminary exploration to retrieve algorithms. We put forward the combined neural network algorithm to discriminate and retrieve the atmospheric waveguide. Meanwhile

the feasibility of this method was demonstrated with the results simulated by historical data in Qingdao

Sheyang

Xiamen and Haikou and measured data in Qingdao. This method is used for remote sensing the atmospheric abnormal structure

and the radiometer can retrieve the atmospheric waveguide. In this study

a new idea is provided for the following atmosphere waveguide. However

improvement is still warranted

considering the lack of depth of the study. Two problems are discussed in this study. First

inversion accuracy is low because of the few samples of atmospheric waveguides extracted from the radiosonde data. Second

the type of atmospheric waveguide is not judged

and the model time is long because of the high resolution. We hope to overcome these problems by improving and adjusting the algorithm in the future. Radiometric profiling provides continuous temperature and humidity soundings up to 10 km height in clear and cloudy conditions and low-resolution cloud liquid soundings. The accuracy of the radiometric temperature and humidity soundings is equivalent to that of the radiosonde soundings. Ground-based multi-channel microwave radiometry has been proven to be a powerful tool for sensing atmospheric waveguide as compared with past methods. It can retrieve continuous atmospheric waveguide and provide environmental information for radar

communication

and navigation systems. The issue of atmospheric waveguide involves electromagnetic fields

radio meteorology

and numerical weather forecasts. Future work should use multiple devices and study atmospheric duct inversion in combination with numerical weather prediction methods to retrieve the waveguide and improve the accuracy of duct prediction.