The Experts below are selected from a list of 8184 Experts worldwide ranked by ideXlab platform

Lixin Ran - One of the best experts on this subject based on the ideXlab platform.

  • Inverse Scattering Problems of Reconstructing Perfectly Electric Conductors With TE Illumination
    IEEE Transactions on Antennas and Propagation, 2013
    Co-Authors: Jianhua Shen, Xudong Chen, Yu Zhong, Lixin Ran
    Abstract:

    In this paper, the reconstruction of perfectly Electric conductor (PEC) scatterers with transverse Electric (TE) wave illumination is investigated using the continuous-type subspace-based optimization method (SOM). The PEC scatterers can be of arbitrary locations, shapes and quantities and no prior information about the scatterers is required in the reconstructions. Compared with the transverse magnetic (TM) counterpart, the TE case is not only mathematically more complex, but also numerically more demanding in the sense that the triangular basis is used to represent induced Electric current. Moreover, under better mesh strategy and more strict objective function, numerical simulations for arbitrary PEC scatterers generate satisfactory results and are well robust against noise. The algorithm is also examined under the experimental scattering data and still obtains good reconstruction results.

Xudong Chen - One of the best experts on this subject based on the ideXlab platform.

  • Inverse Scattering Problems of Reconstructing Perfectly Electric Conductors With TE Illumination
    IEEE Transactions on Antennas and Propagation, 2013
    Co-Authors: Jianhua Shen, Xudong Chen, Yu Zhong, Lixin Ran
    Abstract:

    In this paper, the reconstruction of perfectly Electric conductor (PEC) scatterers with transverse Electric (TE) wave illumination is investigated using the continuous-type subspace-based optimization method (SOM). The PEC scatterers can be of arbitrary locations, shapes and quantities and no prior information about the scatterers is required in the reconstructions. Compared with the transverse magnetic (TM) counterpart, the TE case is not only mathematically more complex, but also numerically more demanding in the sense that the triangular basis is used to represent induced Electric current. Moreover, under better mesh strategy and more strict objective function, numerical simulations for arbitrary PEC scatterers generate satisfactory results and are well robust against noise. The algorithm is also examined under the experimental scattering data and still obtains good reconstruction results.

  • Investigation of the optimization progress of the subspace based optimization method in reconstructing perfect Electric Conductors
    2011
    Co-Authors: Xudong Chen
    Abstract:

    This paper investigates the optimization progress of the continuous-type subspace based optimization method (SOM) for reconstructing perfect Electric Conductors (PEC). The total Electric field and the induced current inside the reconstructed scatterers are investigated during optimization process. It is found that the Electric field will vanish inside the scatterer and the induced current will become the surface current around the boundary automatically along with the optimization process. This phenomenon provides a theoretical explanation to the filled-up pattern of the continuous-type SOM when reconstructing the PEC boundary, and consequently verifies the reasonability and practicability of the proposed method.

  • Reconstructing perfectly Electric Conductors by the subspace-based optimization method with continuous variables
    Inverse Problems, 2011
    Co-Authors: Yu Zhong, Xudong Chen
    Abstract:

    In this paper, an improved version of the subspace-based optimization method (SOM) is proposed to reconstruct perfectly Electric conductor (PEC) scatterers using electromagnetic scattering data. The background medium, together with scatterers of arbitrary number and arbitrary shapes, is effectively expressed as a vector that facilitates to build up the objective function. No a priori information, such as the number of the objects and their approximate locations or centers, is needed. The contrast source inversion method is applied to optimize the inverse problem. The proposed method is found to be more robust against noise and requires less computational resource than the original SOM for PEC scatterers.

Jianhua Shen - One of the best experts on this subject based on the ideXlab platform.

  • Inverse Scattering Problems of Reconstructing Perfectly Electric Conductors With TE Illumination
    IEEE Transactions on Antennas and Propagation, 2013
    Co-Authors: Jianhua Shen, Xudong Chen, Yu Zhong, Lixin Ran
    Abstract:

    In this paper, the reconstruction of perfectly Electric conductor (PEC) scatterers with transverse Electric (TE) wave illumination is investigated using the continuous-type subspace-based optimization method (SOM). The PEC scatterers can be of arbitrary locations, shapes and quantities and no prior information about the scatterers is required in the reconstructions. Compared with the transverse magnetic (TM) counterpart, the TE case is not only mathematically more complex, but also numerically more demanding in the sense that the triangular basis is used to represent induced Electric current. Moreover, under better mesh strategy and more strict objective function, numerical simulations for arbitrary PEC scatterers generate satisfactory results and are well robust against noise. The algorithm is also examined under the experimental scattering data and still obtains good reconstruction results.

Yu Zhong - One of the best experts on this subject based on the ideXlab platform.

  • Inverse Scattering Problems of Reconstructing Perfectly Electric Conductors With TE Illumination
    IEEE Transactions on Antennas and Propagation, 2013
    Co-Authors: Jianhua Shen, Xudong Chen, Yu Zhong, Lixin Ran
    Abstract:

    In this paper, the reconstruction of perfectly Electric conductor (PEC) scatterers with transverse Electric (TE) wave illumination is investigated using the continuous-type subspace-based optimization method (SOM). The PEC scatterers can be of arbitrary locations, shapes and quantities and no prior information about the scatterers is required in the reconstructions. Compared with the transverse magnetic (TM) counterpart, the TE case is not only mathematically more complex, but also numerically more demanding in the sense that the triangular basis is used to represent induced Electric current. Moreover, under better mesh strategy and more strict objective function, numerical simulations for arbitrary PEC scatterers generate satisfactory results and are well robust against noise. The algorithm is also examined under the experimental scattering data and still obtains good reconstruction results.

  • Reconstructing perfectly Electric Conductors by the subspace-based optimization method with continuous variables
    Inverse Problems, 2011
    Co-Authors: Yu Zhong, Xudong Chen
    Abstract:

    In this paper, an improved version of the subspace-based optimization method (SOM) is proposed to reconstruct perfectly Electric conductor (PEC) scatterers using electromagnetic scattering data. The background medium, together with scatterers of arbitrary number and arbitrary shapes, is effectively expressed as a vector that facilitates to build up the objective function. No a priori information, such as the number of the objects and their approximate locations or centers, is needed. The contrast source inversion method is applied to optimize the inverse problem. The proposed method is found to be more robust against noise and requires less computational resource than the original SOM for PEC scatterers.

Laetitia Pradere - One of the best experts on this subject based on the ideXlab platform.

  • H2-norm for mesh optimization with application to electro-thermal modeling of an Electric wire in automotive context
    Communications in Nonlinear Science and Numerical Simulation, 2017
    Co-Authors: Christophe Farges, Mathieu Chevrié, Jocelyn Sabatier, Franck Guillemard, Laetitia Pradere
    Abstract:

    In automotive application field, reducing Electric Conductors dimensions is significant to decrease the embedded mass and the manufacturing costs. It is thus essential to develop tools to optimize the wire diameter according to thermal constraints and protection algorithms to maintain a high level of safety. In order to develop such tools and algorithms, accurate electro-thermal models of Electric wires are required. However, thermal equation solutions lead to implicit fractional transfer functions involving an exponential that cannot be embedded in a car calculator. This paper thus proposes an integer order transfer function approximation methodology based on a spatial discretization for this class of fractional transfer functions. Moreover, the H2-norm is used to minimize approximation error. Accuracy of the proposed approach is confirmed with measured data on a 1.5 mm2 wire implemented in a dedicated test bench.

  • Finite length wire dynamical modeling for automotive applications using H2-norm based approximation of a fractional model
    2016
    Co-Authors: Mathieu Chevrié, Christophe Farges, Jocelyn Sabatier, Franck Guillemard, Laetitia Pradere
    Abstract:

    In automotive application field, reducing Electric Conductors dimensions is significant to decrease the embedded mass and the manufacturing costs. It is thus essential to develop tools to optimize the wire diameter according to thermal constraints and protection algorithms to maintain a high level of safety. In order to develop such tools and algorithms, accurate electro-thermal models of Electric wires are required. However, thermal equation solutions lead to implicit fractional transfer functions involving an exponential that cannot be embedded in a car calculator. This paper thus proposes an integer order approximation methodology based on a spatial discretization for this class of fractional transfer functions. Moreover, the H2-norm is used to minimize approximation error. Accuracy of the proposed approach is confirmed with measured data on a 1.5 mm2 wire implemented in a dedicated test bench.