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 i...
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| Vydáno v: | Scientific reports Ročník 6; číslo 1; s. 19440 |
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| Jazyk: | angličtina |
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19.01.2016
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| Abstract | 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. |
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| AbstractList | 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. 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.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. |
| ArticleNumber | 19440 |
| Author | Zou, Yong Qiang Li, Xiang Liu, Yong Xiang Gao, Xun Zhang |
| Author_xml | – sequence: 1 givenname: Yong Qiang surname: Zou fullname: Zou, Yong Qiang organization: School of Electronics Science and Technology, National University of Defense Technology – sequence: 2 givenname: Xun Zhang surname: Gao fullname: Gao, Xun Zhang organization: School of Electronics Science and Technology, National University of Defense Technology – sequence: 3 givenname: Xiang surname: Li fullname: Li, Xiang organization: School of Electronics Science and Technology, National University of Defense Technology – sequence: 4 givenname: Yong Xiang surname: Liu fullname: Liu, Yong Xiang organization: Research Institute of Space Electronics Technology, National University of Defense Technology |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26781194$$D View this record in MEDLINE/PubMed |
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| Title | A Matrix Pencil Algorithm Based Multiband Iterative Fusion Imaging Method |
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