Partitioning and parallelization schemes for a real-time implementation of the RMC algorithm

Amongst all the functions constituting the TRMC (translational and rotational motion compensation) processing chain developed by Galileo Avionica for real-time high-resolution radar imaging, the RMC (rotational motion compensation) function is doubtless the heaviest by the point of view of required computing processing load. In this paper the possibility to partition and to parallelize across several processors the RMC algorithm is considered. Three different schemes are characterized as an alternative to the basic solution of the round-robin scheme (processing of the whole signal matrix on one processor). Each scheme is then applied to a real example so to estimate the required processing time; this estimation is based on time references measured by means of a single processor implementation.