A Scene-Adaptive Phase Gradient Autofocus Algorithm
In the process of airborne radar imaging, when encountering certain scenarios (e.g., the Gobi desert), the low number or absence of strong scattering points will lead to azimuth scattering in the imaging results. In this study, we propose an autofocusing method based on the traditional phase gradien...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/2/260 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832587554453454848 |
|---|---|
| author | Caizhen Luo Yi Liang Jian Gao Gang Lei Chaolei Han |
| author_facet | Caizhen Luo Yi Liang Jian Gao Gang Lei Chaolei Han |
| author_sort | Caizhen Luo |
| collection | DOAJ |
| description | In the process of airborne radar imaging, when encountering certain scenarios (e.g., the Gobi desert), the low number or absence of strong scattering points will lead to azimuth scattering in the imaging results. In this study, we propose an autofocusing method based on the traditional phase gradient autofocus (PGA) algorithm that determines the optimal number of strong scattering points in each azimuth sub-aperture according to the scene (i.e., adaptively) and uses the mean amplitudes of these points in each azimuth sub-aperture of the scene to make a threshold judgment. In this way, the optimal number of strong scattering points is iteratively selected for subsequent PGA processing. The focusing quality of the image is significantly improved through the combination of these algorithms with onboard radar imaging. The simulation results prove the effectiveness of the method proposed in this study, compared with traditional PGA. |
| format | Article |
| id | doaj-art-2c985638cea443bea68c4982871b1bd4 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-2c985638cea443bea68c4982871b1bd42025-01-24T13:47:55ZengMDPI AGRemote Sensing2072-42922025-01-0117226010.3390/rs17020260A Scene-Adaptive Phase Gradient Autofocus AlgorithmCaizhen Luo0Yi Liang1Jian Gao2Gang Lei3Chaolei Han4National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaNational Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, ChinaXi’an Electronic Engineering Research Institute, Xi’an 710100, ChinaXi’an Electronic Engineering Research Institute, Xi’an 710100, ChinaXi’an Electronic Engineering Research Institute, Xi’an 710100, ChinaIn the process of airborne radar imaging, when encountering certain scenarios (e.g., the Gobi desert), the low number or absence of strong scattering points will lead to azimuth scattering in the imaging results. In this study, we propose an autofocusing method based on the traditional phase gradient autofocus (PGA) algorithm that determines the optimal number of strong scattering points in each azimuth sub-aperture according to the scene (i.e., adaptively) and uses the mean amplitudes of these points in each azimuth sub-aperture of the scene to make a threshold judgment. In this way, the optimal number of strong scattering points is iteratively selected for subsequent PGA processing. The focusing quality of the image is significantly improved through the combination of these algorithms with onboard radar imaging. The simulation results prove the effectiveness of the method proposed in this study, compared with traditional PGA.https://www.mdpi.com/2072-4292/17/2/260airborne radar imagingadaptivelyphase gradient autofocus (PGA) algorithmthreshold judgment |
| spellingShingle | Caizhen Luo Yi Liang Jian Gao Gang Lei Chaolei Han A Scene-Adaptive Phase Gradient Autofocus Algorithm Remote Sensing airborne radar imaging adaptively phase gradient autofocus (PGA) algorithm threshold judgment |
| title | A Scene-Adaptive Phase Gradient Autofocus Algorithm |
| title_full | A Scene-Adaptive Phase Gradient Autofocus Algorithm |
| title_fullStr | A Scene-Adaptive Phase Gradient Autofocus Algorithm |
| title_full_unstemmed | A Scene-Adaptive Phase Gradient Autofocus Algorithm |
| title_short | A Scene-Adaptive Phase Gradient Autofocus Algorithm |
| title_sort | scene adaptive phase gradient autofocus algorithm |
| topic | airborne radar imaging adaptively phase gradient autofocus (PGA) algorithm threshold judgment |
| url | https://www.mdpi.com/2072-4292/17/2/260 |
| work_keys_str_mv | AT caizhenluo asceneadaptivephasegradientautofocusalgorithm AT yiliang asceneadaptivephasegradientautofocusalgorithm AT jiangao asceneadaptivephasegradientautofocusalgorithm AT ganglei asceneadaptivephasegradientautofocusalgorithm AT chaoleihan asceneadaptivephasegradientautofocusalgorithm AT caizhenluo sceneadaptivephasegradientautofocusalgorithm AT yiliang sceneadaptivephasegradientautofocusalgorithm AT jiangao sceneadaptivephasegradientautofocusalgorithm AT ganglei sceneadaptivephasegradientautofocusalgorithm AT chaoleihan sceneadaptivephasegradientautofocusalgorithm |