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2007•IEEE Microwave and Wireless Components LettersRequires access

Convolutional Perfectly Matched Layer for an Unconditionally Stable LOD-FDTD Method

Iftikhar Ahmed, Er‐Ping Li, Klaus Krohne

Open publisher page 41 citations

Abstract

This letter presents the development and implementation of the convolutional perfectly matched layer (CPML) for the recently proposed locally 1-D finite difference time domain method LOD-FDTD. Two different examples are simulated. Their results are compared with the FDTD-PML method and it is found that the proposed method has 16 dB less reflection error at a Courant Friedrich Levy number of one.

About this research paper

What this paper is about

This letter presents the development and implementation of the convolutional perfectly matched layer (CPML) for the recently proposed locally 1-D finite difference time domain method LOD-FDTD. Two different examples are simulated. Their results are compared with the FDTD-PML method and it is found that the proposed method has 16 dB less reflection error at a Courant Friedrich Levy number of one.

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OpenAlex reports 41 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This letter presents the development and implementation of the convolutional perfectly matched layer (CPML) for the recently proposed locally 1-D finite difference time domain method LOD-FDTD. Two different examples are simulated. Their results are compared with the FDTD-PML method and it is found that the proposed method has 16 dB less reflection error at a Courant Friedrich Levy number of one.

Key concepts: Perfectly matched layer, Finite-difference time-domain method, Finite difference method, Reflection (computer programming), Mathematics, Layer (electronics), Computer science, Mathematical analysis

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