Implementation of real-time SAR systems with a high-performance digital signal processor

Helge Kloos; Jens Peter Wittenburg; Willm Hinrichs; Hanno Lieske; Peter Pirsch

doi:10.1117/12.373239

14 December 1999 Implementation of real-time SAR systems with a high-performance digital signal processor

Helge Kloos, Jens Peter Wittenburg, Willm Hinrichs, Hanno Lieske, Peter Pirsch

Proceedings Volume 3871, Image and Signal Processing for Remote Sensing V; (1999) https://doi.org/10.1117/12.373239
Event: Remote Sensing, 1999, Florence, Italy

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 a 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 32microsecond(s) . 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.

Citation Download Citation

Helge Kloos, Jens Peter Wittenburg, Willm Hinrichs, Hanno Lieske, and Peter Pirsch "Implementation of real-time SAR systems with a high-performance digital signal processor", Proc. SPIE 3871, Image and Signal Processing for Remote Sensing V, (14 December 1999); https://doi.org/10.1117/12.373239

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