Research Article
Electromagnetic Propagation Path and Signal Attenuation Prediction Based on DEM Electronic Map
@INPROCEEDINGS{10.1007/978-3-031-36011-4_4, author={Ziqi Sun and Shengliang Fang and Weichao Yang and Gongliang Liu and Ruofei Ma}, title={Electromagnetic Propagation Path and Signal Attenuation Prediction Based on DEM Electronic Map}, proceedings={6GN for Future Wireless Networks. 5th EAI International Conference, 6GN 2022, Harbin, China, December 17-18, 2022, Proceedings, Part I}, proceedings_a={6GN}, year={2023}, month={7}, keywords={Electromagnetic Prediction DEM ITU.RP-526 Propagation Attenuation}, doi={10.1007/978-3-031-36011-4_4} }- Ziqi Sun
Shengliang Fang
Weichao Yang
Gongliang Liu
Ruofei Ma
Year: 2023
Electromagnetic Propagation Path and Signal Attenuation Prediction Based on DEM Electronic Map
6GN
Springer
DOI: 10.1007/978-3-031-36011-4_4
Abstract
With the development of information technology, the advantages of information warfare have become increasingly obvious. Wireless communication is the main means of communication in modern warfare. In military wireless communication where the electromagnetic environment of the battlefield is quite complex, the problem of electromagnetic prediction is particularly prominent. Based on the multi-domain grid of the battlefield environment with the help of Digital Geographic Elevation Model (DEM) data, combined with the accurate wireless propagation model, it can make predictions more accurately, and provide data support for wireless network coverage prediction and the discovery of communication blind spots. The main research is the ITU.RP-526 accurate prediction model, which divides obstacles into knife-edge type and round type, and calculates the total propagation attenuation of the path based on the modified free-space attenuation prediction formula. By comparing with Okumura model and Egli, COST model which considers terrain correction factor, it is verified that the calculation accuracy of this design algorithm is high and the result is reasonable. Complete point-to-point radio wave prediction and field strength coverage.
