A real-time modular architecture that implements an airborne synthetic aperture radar (SAR) processor is described. A high-efficiency computation SAR data-focusing algorithm is used in order to design a scalable architecture able to be adapted to different SAR missions. A multiprocessor digital signal processing (DSP) architecture meets both of the requirements of a high computation throughput, imposed by the real-time focusing algorithm, and of a modular onboard airborne structure. The system design is partitioned into the range-focusing circuit and the azimuth-focusing circuit. While the first stage uses a pipeline structure to interconnect the DSP processors, the azimuth subsystem implements a single input/multiple data structure. This permits an easier growth of processing capabilities and limits the inter-processor communications to a reasonable factor.

Real-time parallel processor for on-board airborn Synthetic Aperture Radar (SAR)

V Rampa
1990

Abstract

A real-time modular architecture that implements an airborne synthetic aperture radar (SAR) processor is described. A high-efficiency computation SAR data-focusing algorithm is used in order to design a scalable architecture able to be adapted to different SAR missions. A multiprocessor digital signal processing (DSP) architecture meets both of the requirements of a high computation throughput, imposed by the real-time focusing algorithm, and of a modular onboard airborne structure. The system design is partitioned into the range-focusing circuit and the azimuth-focusing circuit. While the first stage uses a pipeline structure to interconnect the DSP processors, the azimuth subsystem implements a single input/multiple data structure. This permits an easier growth of processing capabilities and limits the inter-processor communications to a reasonable factor.
1990
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/212102
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