Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR
This paper explores novel architectures for fast backprojection based video synthetic aperture radar (BP-VISAR) with multiple GPUs. The video SAR frame rate is analyzed for non-overlapped and overlapped aperture modes. For the parallelization of the backprojection process, a processing data unit is...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/24/8258 |
| _version_ | 1827669716951367680 |
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| author | Seokwon Lee Inmo Ban Myeongjin Lee Yunho Jung Wookyung Lee |
| author_facet | Seokwon Lee Inmo Ban Myeongjin Lee Yunho Jung Wookyung Lee |
| author_sort | Seokwon Lee |
| collection | DOAJ |
| description | This paper explores novel architectures for fast backprojection based video synthetic aperture radar (BP-VISAR) with multiple GPUs. The video SAR frame rate is analyzed for non-overlapped and overlapped aperture modes. For the parallelization of the backprojection process, a processing data unit is defined as the phase history data or range profile data from partial synthetic-apertures divided from the full resolution target data. Considering whether full-aperture processing is performed and range compression or backprojection are parallelized on a GPU basis, we propose six distinct architectures, each having a single-stream pipeline with a single GPU. The performance of these architectures is evaluated in both non-overlapped and overlapped modes. The efficiency of the BP-VISAR architecture with sub-aperture processing in the overlapped mode is accelerated further by filling the processing gap from the idling GPU resources with multi-stream based backprojection on multiple GPUs. The frame rate of the proposed BP-VISAR architecture with sub-aperture processing is scalable with the number of GPU devices for large pixel resolution. It can generate 4096 × 4096 video SAR frames of 0.5 m cross-range resolution in 23.0 Hz on a single GPU and 73.5 Hz on quad GPUs. |
| first_indexed | 2024-03-10T03:10:01Z |
| format | Article |
| id | doaj.art-c26dc7c9466c46738b8dff06c5a953c1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:10:01Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c26dc7c9466c46738b8dff06c5a953c12023-11-23T10:28:54ZengMDPI AGSensors1424-82202021-12-012124825810.3390/s21248258Architecture Exploration of a Backprojection Algorithm for Real-Time Video SARSeokwon Lee0Inmo Ban1Myeongjin Lee2Yunho Jung3Wookyung Lee4Department of Smart Air Mobility, Korea Aerospace University, Goyang 10540, KoreaSchool of Electronics and Information Engineering, Korea Aerospace University, Goyang 10540, KoreaDepartment of Smart Air Mobility, Korea Aerospace University, Goyang 10540, KoreaDepartment of Smart Air Mobility, Korea Aerospace University, Goyang 10540, KoreaSchool of Electronics and Information Engineering, Korea Aerospace University, Goyang 10540, KoreaThis paper explores novel architectures for fast backprojection based video synthetic aperture radar (BP-VISAR) with multiple GPUs. The video SAR frame rate is analyzed for non-overlapped and overlapped aperture modes. For the parallelization of the backprojection process, a processing data unit is defined as the phase history data or range profile data from partial synthetic-apertures divided from the full resolution target data. Considering whether full-aperture processing is performed and range compression or backprojection are parallelized on a GPU basis, we propose six distinct architectures, each having a single-stream pipeline with a single GPU. The performance of these architectures is evaluated in both non-overlapped and overlapped modes. The efficiency of the BP-VISAR architecture with sub-aperture processing in the overlapped mode is accelerated further by filling the processing gap from the idling GPU resources with multi-stream based backprojection on multiple GPUs. The frame rate of the proposed BP-VISAR architecture with sub-aperture processing is scalable with the number of GPU devices for large pixel resolution. It can generate 4096 × 4096 video SAR frames of 0.5 m cross-range resolution in 23.0 Hz on a single GPU and 73.5 Hz on quad GPUs.https://www.mdpi.com/1424-8220/21/24/8258synthetic aperture radarSARvideo SARbackprojectionsub-aperture processingoverlapped aperture mode |
| spellingShingle | Seokwon Lee Inmo Ban Myeongjin Lee Yunho Jung Wookyung Lee Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR Sensors synthetic aperture radar SAR video SAR backprojection sub-aperture processing overlapped aperture mode |
| title | Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR |
| title_full | Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR |
| title_fullStr | Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR |
| title_full_unstemmed | Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR |
| title_short | Architecture Exploration of a Backprojection Algorithm for Real-Time Video SAR |
| title_sort | architecture exploration of a backprojection algorithm for real time video sar |
| topic | synthetic aperture radar SAR video SAR backprojection sub-aperture processing overlapped aperture mode |
| url | https://www.mdpi.com/1424-8220/21/24/8258 |
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