Abstract
In this paper, a novel data-driven approximation of the Koopman theory algorithm is proposed to simulate the coherent and spatial-temporal correlated sea clutter. The evolution of sea clutter's in-phase and quadrature (I/Q) components are well simulated on the state space. Meanwhile, the amplitude distribution and the phase retrieval of sea clutter can be extracted and modeled. The experimental sea clutter data measured by the IPIX radar is used to demonstrate that this newly proposed data-driven approximation of the Koopman theory algorithm can simulate the sea clutter with the phase retrieval, the expected amplitude information, and the spatial-temporal relationship. Our work provides a useful and powerful simulation scheme for the sea clutter, especially when Doppler information is needed.
Recommended Citation
Y. M. Zhang and L. J. Jiang, "Modeling Of Spatial-temporal Sea Clutter With I/Q Components Based On The Data-driven Approximation Of Koopman Theory," Progress in Electromagnetics Research Symposium, pp. 1039 - 1044, Institute of Electrical and Electronics Engineers, Jan 2022.
The definitive version is available at https://doi.org/10.1109/PIERS55526.2022.9792884
Department(s)
Electrical and Computer Engineering
International Standard Book Number (ISBN)
978-166546023-1
International Standard Serial Number (ISSN)
1931-7360; 1559-9450
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2022
Comments
Research Grants Council, University Grants Committee, Grant GRF 17207114