Cargando…

A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method

Multiband signal fusion technique is a practicable and efficient way to improve the range resolution of ISAR image. The classical fusion method estimates the poles of each subband signal by the root-MUSIC method, and some good results were get in several experiments. However, this method is fragile...

Descripción completa

Detalles Bibliográficos
Autores principales: Zou, Yong Qiang, Gao, Xun Zhang, Li, Xiang, Liu, Yong Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726115/
https://www.ncbi.nlm.nih.gov/pubmed/26781194
http://dx.doi.org/10.1038/srep19440
_version_ 1782411750654607360
author Zou, Yong Qiang
Gao, Xun Zhang
Li, Xiang
Liu, Yong Xiang
author_facet Zou, Yong Qiang
Gao, Xun Zhang
Li, Xiang
Liu, Yong Xiang
author_sort Zou, Yong Qiang
collection PubMed
description Multiband signal fusion technique is a practicable and efficient way to improve the range resolution of ISAR image. The classical fusion method estimates the poles of each subband signal by the root-MUSIC method, and some good results were get in several experiments. However, this method is fragile in noise for the proper poles could not easy to get in low signal to noise ratio (SNR). In order to eliminate the influence of noise, this paper propose a matrix pencil algorithm based method to estimate the multiband signal poles. And to deal with mutual incoherent between subband signals, the incoherent parameters (ICP) are predicted through the relation of corresponding poles of each subband. Then, an iterative algorithm which aimed to minimize the 2-norm of signal difference is introduced to reduce signal fusion error. Applications to simulate dada verify that the proposed method get better fusion results at low SNR.
format Online
Article
Text
id pubmed-4726115
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-47261152016-01-27 A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method Zou, Yong Qiang Gao, Xun Zhang Li, Xiang Liu, Yong Xiang Sci Rep Article Multiband signal fusion technique is a practicable and efficient way to improve the range resolution of ISAR image. The classical fusion method estimates the poles of each subband signal by the root-MUSIC method, and some good results were get in several experiments. However, this method is fragile in noise for the proper poles could not easy to get in low signal to noise ratio (SNR). In order to eliminate the influence of noise, this paper propose a matrix pencil algorithm based method to estimate the multiband signal poles. And to deal with mutual incoherent between subband signals, the incoherent parameters (ICP) are predicted through the relation of corresponding poles of each subband. Then, an iterative algorithm which aimed to minimize the 2-norm of signal difference is introduced to reduce signal fusion error. Applications to simulate dada verify that the proposed method get better fusion results at low SNR. Nature Publishing Group 2016-01-19 /pmc/articles/PMC4726115/ /pubmed/26781194 http://dx.doi.org/10.1038/srep19440 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zou, Yong Qiang
Gao, Xun Zhang
Li, Xiang
Liu, Yong Xiang
A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method
title A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method
title_full A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method
title_fullStr A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method
title_full_unstemmed A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method
title_short A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method
title_sort matrix pencil algorithm based multiband iterative fusion imaging method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4726115/
https://www.ncbi.nlm.nih.gov/pubmed/26781194
http://dx.doi.org/10.1038/srep19440
work_keys_str_mv AT zouyongqiang amatrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT gaoxunzhang amatrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT lixiang amatrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT liuyongxiang amatrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT zouyongqiang matrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT gaoxunzhang matrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT lixiang matrixpencilalgorithmbasedmultibanditerativefusionimagingmethod
AT liuyongxiang matrixpencilalgorithmbasedmultibanditerativefusionimagingmethod