An Effective RCS Data Compression and Prediction Strategy Based on Scattering Center Model
- Resource Type
- Conference
- Authors
- Fang-Yin, Zhu; Shui-Rong, Chai; Yu-Feng, Zou; Zhen-Xiang, He; Li-Xin, Guo
- Source
- 2023 International Applied Computational Electromagnetics Society Symposium (ACES-China) Applied Computational Electromagnetics Society Symposium (ACES-China), 2023 International. :1-3 Aug, 2023
- Subject
- Engineering Profession
Fields, Waves and Electromagnetics
Interpolation
Adaptation models
Databases
Computational modeling
Scattering
Data compression
Prediction algorithms
scattering center
data compression
interpolation prediction
RCS prediction
- Language
In this paper, an effective RCS data compression and interpolation prediction method has been proposed. Proved the advantages of the scattering center model in storing echo data. In addition, an adaptive interpolation algorithm was proposed to predict scattering center parameters. The ball-plate model verifies the effectiveness of this strategy. The numerical simulation results show that interpolation prediction has high accuracy, which can significantly reduce the computational complexity required in the database construction process.