Fast Nonlinear Reconstruction for Radiation Patterns With Phaseless Measurement in Reverberation Chamber

This paper explores the potential of a nonlinear optimization algorithm, known as the Levenberg-Marquardt (LM) algorithm, to expedite the calculation of spherical wave coefficients. Reconstruction of antenna radiation patterns (AUT) within a reverberation chamber (RC) could be accomplished through the utilization of spherical wave expansion (SWE) with the measurement of power correlation coefficients. However, solving the SWE of electrically large AUT is complex and time-consuming. The matrix decomposition approach is used to convert high-dimensional matrices into multiple low-dimensional ones. Additionally, it analytically solves the Jacobian matrix within the LM, achieving a time savings of more than fivefold. The efficacy and precision of this method are substantiated through numerical calculations, simulations, and measurements.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2025-04-16
DOI
https://doi.org/10.1109/lawp.2025.3561541
Primary Topic
Electromagnetic Compatibility and Measurements
Type
article
Field-Weighted Citation Impact
0.00

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article

Fast Nonlinear Reconstruction for Radiation Patterns With Phaseless Measurement in Reverberation Chamber

Kuiwen Xu, Xiaoming Chen, Mengsheng Wang, Fangyun Peng et al.
IEEE Antennas and Wireless Propagation Letters
Electromagnetic Compatibility and Measurements
article

Fast Nonlinear Reconstruction for Radiation Patterns With Phaseless Measurement in Reverberation Chamber

Kuiwen Xu, Xiaoming Chen, Mengsheng Wang, Fangyun Peng, Ning Xu
article en

Abstract

This paper explores the potential of a nonlinear optimization algorithm, known as the Levenberg-Marquardt (LM) algorithm, to expedite the calculation of spherical wave coefficients. Reconstruction of antenna radiation patterns (AUT) within a reverberation chamber (RC) could be accomplished through the utilization of spherical wave expansion (SWE) with the measurement of power correlation coefficients. However, solving the SWE of electrically large AUT is complex and time-consuming. The matrix decomposition approach is used to convert high-dimensional matrices into multiple low-dimensional ones. Additionally, it analytically solves the Jacobian matrix within the LM, achieving a time savings of more than fivefold. The efficacy and precision of this method are substantiated through numerical calculations, simulations, and measurements.

IEEE Antennas and Wireless Propagation LettersVol. 24(11)
Hangzhou Dianzi University (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 94%
Electromagnetic Compatibility and Measurements
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