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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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 |
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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 |
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