SAR imaging allows to obtain high resolution terrain imaging even in adverse (light and weather) conditions. This technology is most useful for real-time monitoring of terrain, such as: glaciars, forrests, oceans and crops. However, its computationaly intensive and it is of most importance to develop embedded architectures to accelerate its processing.
SAR images are composed by by the echoes from pulses (chirps) transmitted by the radar and reflected by the terrain surface. The receiving antenna acquires part of the reflections and the system is able to determine the distance to the target/terrain (swath) based on the "deformations" of the sent pulses. This is repeated consecutively for many positions along the flight path (azimuth). The generation of the image is based on the processing of the received echo signal, and can be performed using different algorithms such as: range-doppler, capon, fft, music, backprojection.
The research work is focused on developing techniques for acceleration of such SAR image generation algortihms through the adoption of reconfigurable hardware (FPGAs).
Type: National Project
Duration: from Oct 2018 to Sep 2021
Prime Contractor: INESC-ID
Participating Institutions: INESC-ID
Principal Investigator: Rui P. Duarte (ESDA)
Financed by: FCT