Lossless Line

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Anestis Dounavis - One of the best experts on this subject based on the ideXlab platform.

  • Longitudinal-Partitioning-Based Waveform Relaxation Algorithm for Efficient Analysis of Distributed Transmission-Line Networks
    IEEE Transactions on Microwave Theory and Techniques, 2012
    Co-Authors: Anestis Dounavis, A. Beygi
    Abstract:

    In this paper, a waveform relaxation algorithm is presented for efficient transient analysis of large transmission-Line networks. The proposed methodology represents lossy transmission Lines as a cascade of lumped circuit elements alternating with Lossless Line segments, where the Lossless Line segments are modeled using the method of characteristics. Partitioning the transmission Lines at the natural interfaces provided by the method of characteristics allows the resulting subcircuits to be weakly coupled by construction. The subcircuits are solved independently using a proposed hybrid iterative technique that combines the advantages of both traditional Gauss-Seidel and Gauss-Jacobi algorithms. The overall algorithm is highly parallelizable and exhibits good scaling with both the size of the network involved and the number of CPUs available. Numerical examples have been presented to illustrate the validity and efficiency of the proposed work.

  • Fast electromagnetic interference analysis of distributed networks using longitudinal partitioning based waveform relaxation
    2012 IEEE MTT-S International Microwave Symposium Digest, 2012
    Co-Authors: Sourajeet Roy, A. Beygi, Anestis Dounavis
    Abstract:

    In this paper, a waveform relaxation algorithm for the fast electromagnetic interference analysis of distributed transmission Line networks is presented. The proposed work models lossy transmission Lines as a cascade of lumped circuit elements and Lossless Line segments, where the incident field coupling with the network is represented as lumped sources connected to each Lossless Line segment. A longitudinal partitioning methodology which ensures that the resultant subcircuits are weakly coupled using delayed Linear equations is presented, thereby leading to fast convergence of the waveform relaxation iterations. A numerical example is provided to demonstrate the validity of the proposed algorithm.

  • Longitudinal partitioning based waveform relaxation algorithm for transient analysis of long delay transmission Lines
    2011 IEEE MTT-S International Microwave Symposium, 2011
    Co-Authors: Sourajeet Roy, Anestis Dounavis
    Abstract:

    In this paper a waveform relaxation algorithm based on longitudinal partitioning is presented to efficiently model large distributed networks. The proposed methodology represents lossy transmission Lines as a cascade of lumped circuit elements and Lossless Line segments, where the Lossless Line segments are modeled using the method of characteristics. This allows the transmission Line to be naturally partitioned into smaller, weakly coupled subcircuits, enabling the waveform relaxation algorithm to converge more efficiently compared to existing relaxation algorithms based on longitudinal partitioning using the conventional lumped model. A numerical example is provided to demonstrate the validity of the proposed algorithm.

A. Beygi - One of the best experts on this subject based on the ideXlab platform.

  • Fast electromagnetic interference analysis of distributed networks using longitudinal partitioning based waveform relaxation
    2012 IEEE MTT-S International Microwave Symposium Digest, 2012
    Co-Authors: Sourajeet Roy, A. Beygi, Anestis Dounavis
    Abstract:

    In this paper, a waveform relaxation algorithm for the fast electromagnetic interference analysis of distributed transmission Line networks is presented. The proposed work models lossy transmission Lines as a cascade of lumped circuit elements and Lossless Line segments, where the incident field coupling with the network is represented as lumped sources connected to each Lossless Line segment. A longitudinal partitioning methodology which ensures that the resultant subcircuits are weakly coupled using delayed Linear equations is presented, thereby leading to fast convergence of the waveform relaxation iterations. A numerical example is provided to demonstrate the validity of the proposed algorithm.

  • Longitudinal-Partitioning-Based Waveform Relaxation Algorithm for Efficient Analysis of Distributed Transmission-Line Networks
    IEEE Transactions on Microwave Theory and Techniques, 2012
    Co-Authors: Anestis Dounavis, A. Beygi
    Abstract:

    In this paper, a waveform relaxation algorithm is presented for efficient transient analysis of large transmission-Line networks. The proposed methodology represents lossy transmission Lines as a cascade of lumped circuit elements alternating with Lossless Line segments, where the Lossless Line segments are modeled using the method of characteristics. Partitioning the transmission Lines at the natural interfaces provided by the method of characteristics allows the resulting subcircuits to be weakly coupled by construction. The subcircuits are solved independently using a proposed hybrid iterative technique that combines the advantages of both traditional Gauss-Seidel and Gauss-Jacobi algorithms. The overall algorithm is highly parallelizable and exhibits good scaling with both the size of the network involved and the number of CPUs available. Numerical examples have been presented to illustrate the validity and efficiency of the proposed work.

Sourajeet Roy - One of the best experts on this subject based on the ideXlab platform.

  • Fast electromagnetic interference analysis of distributed networks using longitudinal partitioning based waveform relaxation
    2012 IEEE MTT-S International Microwave Symposium Digest, 2012
    Co-Authors: Sourajeet Roy, A. Beygi, Anestis Dounavis
    Abstract:

    In this paper, a waveform relaxation algorithm for the fast electromagnetic interference analysis of distributed transmission Line networks is presented. The proposed work models lossy transmission Lines as a cascade of lumped circuit elements and Lossless Line segments, where the incident field coupling with the network is represented as lumped sources connected to each Lossless Line segment. A longitudinal partitioning methodology which ensures that the resultant subcircuits are weakly coupled using delayed Linear equations is presented, thereby leading to fast convergence of the waveform relaxation iterations. A numerical example is provided to demonstrate the validity of the proposed algorithm.

  • Longitudinal partitioning based waveform relaxation algorithm for transient analysis of long delay transmission Lines
    2011 IEEE MTT-S International Microwave Symposium, 2011
    Co-Authors: Sourajeet Roy, Anestis Dounavis
    Abstract:

    In this paper a waveform relaxation algorithm based on longitudinal partitioning is presented to efficiently model large distributed networks. The proposed methodology represents lossy transmission Lines as a cascade of lumped circuit elements and Lossless Line segments, where the Lossless Line segments are modeled using the method of characteristics. This allows the transmission Line to be naturally partitioned into smaller, weakly coupled subcircuits, enabling the waveform relaxation algorithm to converge more efficiently compared to existing relaxation algorithms based on longitudinal partitioning using the conventional lumped model. A numerical example is provided to demonstrate the validity of the proposed algorithm.

Yoshikazu Miyanaga - One of the best experts on this subject based on the ideXlab platform.

Mehmet Salih - One of the best experts on this subject based on the ideXlab platform.

  • Discrete-Time State-Space Modeling of Distributed Parameter Transmission Line
    2007
    Co-Authors: Mehmet Salih
    Abstract:

    This work presents a new approach for state- space modeling of distributed parameter transmission Line for transient analysis. The Lossless Line model based on the method of characteristics is used and the state equations are derived. These equations are converted to a set of difference equations using the trapezoidal rule of integration. By solving these equations, the state of system at discrete time points is obtained. An illustrative example is given and the obtained results are compared with those obtained using conventional methods based on s-domain and fast inverse Laplace transform (FILT). The study also investigates the effects caused by lumped parameter approximation of Line losses. the Line length and highest transient frequency component involved. Therefore, representation of transmission Lines usually requires a large number of Line sections. Numerous state variable approaches have also been proposed for representation of distributed parameters (5,14,15), but these methods are difficult and not practical to implement. This particular work presents a method for the state- space representation of distributed parameter transmission Lines. The method of characteristics is used in Line modeling and state equations are derived from this model. These equations are solved in time-domain by discretization using the trapezoidal rule of integration. The state of the system at discrete time points is obtained by repetitive solutions of these equations at these points. The method is demonstrated through an illustrative example and the results obtained by the proposed method are compared with those obtained via s-domain simulations using FILT (16). The study also investigates the effects caused by lumped parameter approximation of Line losses.