Abstract
The direct method for solving the matrix equations in the method of moments offers significant advantages in monostatic scattering problems. In this paper, the traditional compressive sensing-based method of moments is transformed into a direct method, and a fast solution to the monostatic RCS is achieved by constructing a low-dimensional reduced matrix equation and LU decomposition technique. Since only part of the impedance matrix and the excitation vector are involved in the calculation, the filling and solving times in the proposed method are significantly reduced. The numerical simulation is performed using the proposed method and the traditional characteristic mode basis function method, and the results demonstrate that the proposed method can provide higher efficiency.
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Acknowledgements
This work was funded and supported by a Universiti Sains Malaysia (USM), Bridging GRA Grant with Project No: 304/PELECT/6316607.
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Gao, Y., Akbar, M.F., Rajendran, J., Jawad, G.N. (2024). A Method Combining Compressive Sensing-Based Method of Moment and LU Decomposition for Solving Monostatic RCS. In: Ahmad, N.S., Mohamad-Saleh, J., Teh, J. (eds) Proceedings of the 12th International Conference on Robotics, Vision, Signal Processing and Power Applications. RoViSP 2021. Lecture Notes in Electrical Engineering, vol 1123. Springer, Singapore. https://doi.org/10.1007/978-981-99-9005-4_41
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DOI: https://doi.org/10.1007/978-981-99-9005-4_41
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