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Piecewise Calculation Scheme for the Unconditionally Stable Chebyshev Finite-Difference Time-Domain Method

Zheng‐Yu Huang, Xue-Qi Zheng, Chao Li, Eng Leong Tan, Zian Chen, Lihua Shi, Bin Chen

2025IEEE Transactions on Microwave Theory and Techniques31 citationsDOI

Abstract

The unconditionally stable (US) Chebyshev (CS) finite-difference time-domain (FDTD) method is extended for solving the problems of long-time simulation or harmonic resonance using a piecewise calculation scheme. First, the CS differential matrix is derived from the inversion of integral matrix with the differential characteristic of the CS polynomials. Then, the 2-D CS FDTD formula with initial values is derived based on the CS differential matrix, highlighting the merits of a closed interval for the CS basis functions and the 0th-order CS polynomial. In addition, the time-frequency support of CS functions for order selection is discussed. Finally, based on the above derivation, a piecewise calculation scheme is proposed to simulate an entire time, where the electromagnetic field is reconstructed piecewise with the Clenshaw law. Numerical examples for the 2-D <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${\mathrm { TE}}_{z}$ </tex-math></inline-formula> case show that the proposed method agrees well with the conventional FDTD method with the relative difference lower than −50 dB. This represents a higher accuracy than the associated hermite (AH) FDTD method and reduces the memory compared with the original CS FDTD method.

Topics & Concepts

Chebyshev filterPiecewiseMathematicsApplied mathematicsScheme (mathematics)Finite difference methodMathematical analysisChebyshev equationChebyshev polynomialsChebyshev iterationTime domainApproximation theoryComputer scienceClassical orthogonal polynomialsComputer visionOrthogonal polynomialsElectromagnetic Simulation and Numerical MethodsElectromagnetic Scattering and AnalysisNumerical methods for differential equations
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