Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 343-347 |
| Seitenumfang | 5 |
| Fachzeitschrift | Proceedings of SPIE - The International Society for Optical Engineering |
| Jahrgang | 3871 |
| Publikationsstatus | Veröffentlicht - 1999 |
| Veranstaltung | 1999 Image and Signal Processing for Remote Sensing V - Florence, Italy Dauer: 22 Sept. 1999 → 24 Sept. 1999 |
Abstract
Real-time Synthetic Aperture Radar (SAR) image synthesis is one of the major problems to solve in the future. To achieve a fully synthesized SAR image, the raw signal must be filtered with a 2-dimensional function representing the system transfer function. These filtering operations are usually processed by multiplication in frequency domain. Therefore, the Fast Fourier Transform (FFT) used for transformation to / from frequency domain is the predominant algorithm in terms of processing power for SAR image synthesis. The presented HiPAR-DSP is a programmable architecture, which is optimized for FFT-dominated applications like SAR image processing. To provide the high requested processing power for these task, the HiPAR-DSP has an array of 4 (HiPAR-DSP4) respectively 16 (HiPAR-DSP16) parallel processing units (datapaths) which is controlled by an single RISC Controller. For data exchange between the processing units there is a shared memory which allows the concurrent access from all processing units in a single clock cycle. So the HiPAR-DSP16 performs a complex FFT with 1024 Samples in 32 μs. For the implemented SAR-Processing task, the Range Compression with 4096 complex samples per line we achieve a real-time performance of nearly 1500 rangelines/s.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: Proceedings of SPIE - The International Society for Optical Engineering, Jahrgang 3871, 1999, S. 343-347.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Implementation of real-time SAR-systems with a high performance digital signal processor
AU - Kloos, H.
AU - Wittenburg, J. P.
AU - Hinrichs, W.
AU - Lieske, H.
AU - Pirsch, P.
PY - 1999
Y1 - 1999
N2 - Real-time Synthetic Aperture Radar (SAR) image synthesis is one of the major problems to solve in the future. To achieve a fully synthesized SAR image, the raw signal must be filtered with a 2-dimensional function representing the system transfer function. These filtering operations are usually processed by multiplication in frequency domain. Therefore, the Fast Fourier Transform (FFT) used for transformation to / from frequency domain is the predominant algorithm in terms of processing power for SAR image synthesis. The presented HiPAR-DSP is a programmable architecture, which is optimized for FFT-dominated applications like SAR image processing. To provide the high requested processing power for these task, the HiPAR-DSP has an array of 4 (HiPAR-DSP4) respectively 16 (HiPAR-DSP16) parallel processing units (datapaths) which is controlled by an single RISC Controller. For data exchange between the processing units there is a shared memory which allows the concurrent access from all processing units in a single clock cycle. So the HiPAR-DSP16 performs a complex FFT with 1024 Samples in 32 μs. For the implemented SAR-Processing task, the Range Compression with 4096 complex samples per line we achieve a real-time performance of nearly 1500 rangelines/s.
AB - Real-time Synthetic Aperture Radar (SAR) image synthesis is one of the major problems to solve in the future. To achieve a fully synthesized SAR image, the raw signal must be filtered with a 2-dimensional function representing the system transfer function. These filtering operations are usually processed by multiplication in frequency domain. Therefore, the Fast Fourier Transform (FFT) used for transformation to / from frequency domain is the predominant algorithm in terms of processing power for SAR image synthesis. The presented HiPAR-DSP is a programmable architecture, which is optimized for FFT-dominated applications like SAR image processing. To provide the high requested processing power for these task, the HiPAR-DSP has an array of 4 (HiPAR-DSP4) respectively 16 (HiPAR-DSP16) parallel processing units (datapaths) which is controlled by an single RISC Controller. For data exchange between the processing units there is a shared memory which allows the concurrent access from all processing units in a single clock cycle. So the HiPAR-DSP16 performs a complex FFT with 1024 Samples in 32 μs. For the implemented SAR-Processing task, the Range Compression with 4096 complex samples per line we achieve a real-time performance of nearly 1500 rangelines/s.
UR - http://www.scopus.com/inward/record.url?scp=0033354953&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0033354953
VL - 3871
SP - 343
EP - 347
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
SN - 0277-786X
T2 - 1999 Image and Signal Processing for Remote Sensing V
Y2 - 22 September 1999 through 24 September 1999
ER -