Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data
Obtained by wide band radar system, high resolution range profile (HRRP) is the projection of scatterers of target to the radar line-of-sight (LOS). HRRP reconstruction is unavoidable for inverse synthetic aperture radar (ISAR) imaging, and of particular usage for target recognition, especially in c...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/154488 |
| _version_ | 1826124333368475648 |
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| author | Zhang, Shuanghui Liu, Yongxiang Li, Xiang Bi, Guoan |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Zhang, Shuanghui Liu, Yongxiang Li, Xiang Bi, Guoan |
| author_sort | Zhang, Shuanghui |
| collection | NTU |
| description | Obtained by wide band radar system, high resolution range profile (HRRP) is the projection of scatterers of target to the radar line-of-sight (LOS). HRRP reconstruction is unavoidable for inverse synthetic aperture radar (ISAR) imaging, and of particular usage for target recognition, especially in cases that the ISAR image of target is not able to be achieved. For the high-speed moving target, however, its HRRP is stretched by the high order phase error. To obtain well-focused HRRP, the phase error induced by target velocity should be compensated, utilizing either measured or estimated target velocity. Noting in case of under-sampled data, the traditional velocity estimation and HRRP reconstruction algorithms become invalid, a novel HRRP reconstruction of high-speed target for under-sampled data is proposed. The Laplacian scale mixture (LSM) is used as the sparse prior of HRRP, and the variational Bayesian inference is utilized to derive its posterior, so as to reconstruct it with high resolution from the under-sampled data. Additionally, during the reconstruction of HRRP, the target velocity is estimated via joint constraint of entropy minimization and sparseness of HRRP to compensate the high order phase error brought by the target velocity to concentrate HRRP. Experimental results based on both simulated and measured data validate the effectiveness of the proposed Bayesian HRRP reconstruction algorithm. |
| first_indexed | 2024-10-01T06:18:56Z |
| format | Journal Article |
| id | ntu-10356/154488 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:18:56Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1544882021-12-23T07:05:05Z Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data Zhang, Shuanghui Liu, Yongxiang Li, Xiang Bi, Guoan School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering High Resolution Range Profile (HRRP) Inverse Synthetic Aperture Radar (ISAR) Imaging Obtained by wide band radar system, high resolution range profile (HRRP) is the projection of scatterers of target to the radar line-of-sight (LOS). HRRP reconstruction is unavoidable for inverse synthetic aperture radar (ISAR) imaging, and of particular usage for target recognition, especially in cases that the ISAR image of target is not able to be achieved. For the high-speed moving target, however, its HRRP is stretched by the high order phase error. To obtain well-focused HRRP, the phase error induced by target velocity should be compensated, utilizing either measured or estimated target velocity. Noting in case of under-sampled data, the traditional velocity estimation and HRRP reconstruction algorithms become invalid, a novel HRRP reconstruction of high-speed target for under-sampled data is proposed. The Laplacian scale mixture (LSM) is used as the sparse prior of HRRP, and the variational Bayesian inference is utilized to derive its posterior, so as to reconstruct it with high resolution from the under-sampled data. Additionally, during the reconstruction of HRRP, the target velocity is estimated via joint constraint of entropy minimization and sparseness of HRRP to compensate the high order phase error brought by the target velocity to concentrate HRRP. Experimental results based on both simulated and measured data validate the effectiveness of the proposed Bayesian HRRP reconstruction algorithm. This work was supported in part by the National Natural Science Foundation of China under Grant 61801484 and Grant 61921001 and in part by the China Postdoctoral Science Foundation under Grant 2019TQ0072. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Abdesselam S. Bouzerdoum. 2021-12-23T07:05:04Z 2021-12-23T07:05:04Z 2020 Journal Article Zhang, S., Liu, Y., Li, X. & Bi, G. (2020). Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data. IEEE Transactions On Image Processing, 29, 5110-5120. https://dx.doi.org/10.1109/TIP.2020.2980149 1057-7149 https://hdl.handle.net/10356/154488 10.1109/TIP.2020.2980149 32191887 2-s2.0-85082510396 29 5110 5120 en IEEE Transactions on Image Processing © 2020 IEEE. All rights reserved. |
| spellingShingle | Engineering::Electrical and electronic engineering High Resolution Range Profile (HRRP) Inverse Synthetic Aperture Radar (ISAR) Imaging Zhang, Shuanghui Liu, Yongxiang Li, Xiang Bi, Guoan Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data |
| title | Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data |
| title_full | Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data |
| title_fullStr | Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data |
| title_full_unstemmed | Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data |
| title_short | Bayesian high resolution range profile reconstruction of high-speed moving target from under-sampled data |
| title_sort | bayesian high resolution range profile reconstruction of high speed moving target from under sampled data |
| topic | Engineering::Electrical and electronic engineering High Resolution Range Profile (HRRP) Inverse Synthetic Aperture Radar (ISAR) Imaging |
| url | https://hdl.handle.net/10356/154488 |
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