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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuxiang Shu Guisheng Liao Zhiwei Yang |
| Copyright Year | 2004 |
| Abstract | In practice, inevitable image coregistration error and channel phase mismatch will significantly degrade the estimation performance of the target radial velocity in the ground moving target indication processing with multichannel synthetic aperture radar (SAR) systems. To overcome this problem, a new radial velocity estimation method using the subspace projection (SP) algorithm with adaptive data reconstruction is proposed in this letter. Based on the joint-pixel signal model, the Wiener weight vector is used to reconstruct the multichannel data vector of the pixel containing the moving target. Then, the SP algorithm is adopted to deal with the radial velocity estimation with the reconstructed single “snapshot” data. The validity and robustness are verified by both simulations and real SAR data experiments. |
| Sponsorship | IEEE Geoscience and Remote Sensing Society |
| Starting Page | 1101 |
| Ending Page | 1105 |
| Page Count | 5 |
| File Size | 919895 |
| File Format | |
| ISSN | 1545598X |
| Volume Number | 11 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Synthetic aperture radar Clutter Estimation Vectors Robustness Image reconstruction Training synthetic aperture radar (SAR) Ground moving target indication (GMTI) parameter estimation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology |
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