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Content Provider | IET Digital Library |
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Author | Wan, Jun Zhou, Yu Zhang, Linrang Chen, Zhanye |
Abstract | In this study, a ground moving target focusing and motion parameter estimation method based on modified second-order keystone transform (MSOKT) have been proposed for a synthetic aperture radar. Firstly, a cross-track velocity matching compensation function is derived to remove range walk migration and estimate the cross-track velocity of the moving target. Secondly, an MSOKT is proposed to remove the range curvature and Doppler frequency migration simultaneously. Lastly, a well-focused result of the moving target is obtained, and the motion parameters of the moving target are estimated. Compared with the traditional KT-based method, the proposed method works well in situations where Doppler centre blur and Doppler spectrum ambiguity are present. The computational complexity of the proposed method is considerably lower than that of the traditional optimum method, such as Radon-Lv's distribution. Simulation and real data processing results validate the effectiveness of the proposed method. |
Starting Page | 528 |
Ending Page | 537 |
Page Count | 10 |
ISSN | 17519675 |
Volume Number | 13 |
e-ISSN | 17519683 |
Issue Number | Issue 5, Jul (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/13/5 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5225 |
Journal | IET Signal Processing |
Publisher Date | 2019-03-19 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Cross-track Velocity Doppler Frequency Migration Doppler Radar Ground Moving Target Integral Transforms Modified Second-order Keystone Motion Parameter MSOKT Object Detection Optical, Image And Video Signal Processing Parameter Estimation Radar Equipment Radar Imaging Radon Transforms Range Walk Migration Synthetic Aperture Radar System And Application Traditional KT-based Method Traditional Optimum Method |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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