Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR
Abstract There exists periodic modulation problem in radar echoes due to the main rotor blades periodic blockage in helicopter‐borne fire‐control radar which is mounted atop the main rotor mast of the helicopter. Such modulation echo induces a set of ghosts in synthetic aperture radar (SAR) image, f...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
|
| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12032 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832558644509540352 |
|---|---|
| author | Wei Gao Xiaoming Li Zheng Liu Ziqiang Meng Xiaodong Han Lei Ran |
| author_facet | Wei Gao Xiaoming Li Zheng Liu Ziqiang Meng Xiaodong Han Lei Ran |
| author_sort | Wei Gao |
| collection | DOAJ |
| description | Abstract There exists periodic modulation problem in radar echoes due to the main rotor blades periodic blockage in helicopter‐borne fire‐control radar which is mounted atop the main rotor mast of the helicopter. Such modulation echo induces a set of ghosts in synthetic aperture radar (SAR) image, further resulting in a poor performance of subsequent tracking and striking. To address this problem, this article proposes a method on rotor blades blockage modulation suppression for helicopter‐borne SAR. By decomposing the blocked echo into the form of Fourier series in the azimuth direction, a reference function could be constructed to suppress the modulation directly by adopting an iterative approximation strategy. This method effectively avoids the complex blocked data recovery methods, and thus can be used to suppress various kinds of periodic modulation components without requiring certain distribution models. Both simulated and real‐measured data are processed to demonstrate the effectiveness of the proposed algorithm. |
| format | Article |
| id | doaj-art-37227592c6a9416ab6019f2e288ebe84 |
| institution | Kabale University |
| issn | 1751-9675 1751-9683 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj-art-37227592c6a9416ab6019f2e288ebe842025-02-03T01:31:55ZengWileyIET Signal Processing1751-96751751-96832021-06-0115428129010.1049/sil2.12032Rotor blades blockage modulation suppression algorithm for helicopter‐borne SARWei Gao0Xiaoming Li1Zheng Liu2Ziqiang Meng3Xiaodong Han4Lei Ran5National Laboratory of Radar Signal Processing Xidian University Xi'an ChinaLeihua Electronic Technology Research Institute Aviation Industry Corporation of China Wuxi ChinaNational Laboratory of Radar Signal Processing Xidian University Xi'an ChinaLeihua Electronic Technology Research Institute Aviation Industry Corporation of China Wuxi ChinaLeihua Electronic Technology Research Institute Aviation Industry Corporation of China Wuxi ChinaNational Laboratory of Radar Signal Processing Xidian University Xi'an ChinaAbstract There exists periodic modulation problem in radar echoes due to the main rotor blades periodic blockage in helicopter‐borne fire‐control radar which is mounted atop the main rotor mast of the helicopter. Such modulation echo induces a set of ghosts in synthetic aperture radar (SAR) image, further resulting in a poor performance of subsequent tracking and striking. To address this problem, this article proposes a method on rotor blades blockage modulation suppression for helicopter‐borne SAR. By decomposing the blocked echo into the form of Fourier series in the azimuth direction, a reference function could be constructed to suppress the modulation directly by adopting an iterative approximation strategy. This method effectively avoids the complex blocked data recovery methods, and thus can be used to suppress various kinds of periodic modulation components without requiring certain distribution models. Both simulated and real‐measured data are processed to demonstrate the effectiveness of the proposed algorithm.https://doi.org/10.1049/sil2.12032bladesechoFourier serieshelicoptersiterative methodsradar imaging |
| spellingShingle | Wei Gao Xiaoming Li Zheng Liu Ziqiang Meng Xiaodong Han Lei Ran Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR IET Signal Processing blades echo Fourier series helicopters iterative methods radar imaging |
| title | Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR |
| title_full | Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR |
| title_fullStr | Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR |
| title_full_unstemmed | Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR |
| title_short | Rotor blades blockage modulation suppression algorithm for helicopter‐borne SAR |
| title_sort | rotor blades blockage modulation suppression algorithm for helicopter borne sar |
| topic | blades echo Fourier series helicopters iterative methods radar imaging |
| url | https://doi.org/10.1049/sil2.12032 |
| work_keys_str_mv | AT weigao rotorbladesblockagemodulationsuppressionalgorithmforhelicopterbornesar AT xiaomingli rotorbladesblockagemodulationsuppressionalgorithmforhelicopterbornesar AT zhengliu rotorbladesblockagemodulationsuppressionalgorithmforhelicopterbornesar AT ziqiangmeng rotorbladesblockagemodulationsuppressionalgorithmforhelicopterbornesar AT xiaodonghan rotorbladesblockagemodulationsuppressionalgorithmforhelicopterbornesar AT leiran rotorbladesblockagemodulationsuppressionalgorithmforhelicopterbornesar |