Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments

A hybrid method is proposed for memory-efficient analysis of reverberation chambers (RCs). In the hybrid method, the cavity is modeled by the recursive update discrete singular convolution (RUDSC) method, and antennas and stirrers inside the cavity are simulated using the flexible method of moments...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhao, Huapeng, Shen, Zhongxiang
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/97721
http://hdl.handle.net/10220/11198
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-97721
record_format dspace
spelling sg-ntu-dr.10356-977212020-03-07T13:57:30Z Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments Zhao, Huapeng Shen, Zhongxiang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering A hybrid method is proposed for memory-efficient analysis of reverberation chambers (RCs). In the hybrid method, the cavity is modeled by the recursive update discrete singular convolution (RUDSC) method, and antennas and stirrers inside the cavity are simulated using the flexible method of moments (MoM). In order to solve DSC and MoM unknowns separately, a layer-based elimination algorithm is utilized to eliminate the DSC unknowns. The MoM unknowns are then solved by a direct solver. Once the solution for the MoM model is obtained, the original RC is equivalent to a cavity excited by known current sources. The equivalent problem is finally solved using the RUDSC method. Taking advantage of the layer-based elimination algorithm and the recursive update technique, the memory requirement of the new hybrid method is much smaller than that of using a direct solver. Numerical simulations are presented to show the efficacy of the proposed method. It is shown that the the proposed method substantially reduces the memory cost of RC modeling, which extends RC analysis to higher frequencies. 2013-07-11T04:43:49Z 2019-12-06T19:45:51Z 2013-07-11T04:43:49Z 2019-12-06T19:45:51Z 2012 2012 Journal Article Zhao, H., & Shen, Z. (2012). IEEE Transactions on Antennas and Propagation, 60(6), 2781-2789. Zhao, H., Shen, Z. (2012). Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments. IEEE Transactions on Antennas and Propagation, 60(6), 2781-2789. https://hdl.handle.net/10356/97721 http://hdl.handle.net/10220/11198 10.1109/TAP.2012.2194677 en IEEE transactions on antennas and propagation © 2012 IEEE.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhao, Huapeng
Shen, Zhongxiang
Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
description A hybrid method is proposed for memory-efficient analysis of reverberation chambers (RCs). In the hybrid method, the cavity is modeled by the recursive update discrete singular convolution (RUDSC) method, and antennas and stirrers inside the cavity are simulated using the flexible method of moments (MoM). In order to solve DSC and MoM unknowns separately, a layer-based elimination algorithm is utilized to eliminate the DSC unknowns. The MoM unknowns are then solved by a direct solver. Once the solution for the MoM model is obtained, the original RC is equivalent to a cavity excited by known current sources. The equivalent problem is finally solved using the RUDSC method. Taking advantage of the layer-based elimination algorithm and the recursive update technique, the memory requirement of the new hybrid method is much smaller than that of using a direct solver. Numerical simulations are presented to show the efficacy of the proposed method. It is shown that the the proposed method substantially reduces the memory cost of RC modeling, which extends RC analysis to higher frequencies.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhao, Huapeng
Shen, Zhongxiang
format Article
author Zhao, Huapeng
Shen, Zhongxiang
author_sort Zhao, Huapeng
title Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
title_short Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
title_full Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
title_fullStr Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
title_full_unstemmed Memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
title_sort memory-efficient modeling of reverberation chambers using hybrid recursive update discrete singular convolution-method of moments
publishDate 2013
url https://hdl.handle.net/10356/97721
http://hdl.handle.net/10220/11198
_version_ 1681041483135713280