Abstract :
Compressed Sensing (CS) techniques represents a mathematical framework for the detection and allocation of sparse signals with a reduction of the actually required number of sensors. Nowadays modem radar systems use high bandwidth, which is linked to high sample rates to fulfill the Shannon-Nyquist theorem condition, and a large number of single elements for phased-array antennas. Often only a small amount of target parameters are of interest, which raises the question of whether or not CS is appropriate for reducing data size, complexity, weight, power consumption, and cost of radar systems. The number of publications for compressed sensing applied to radar is still very limited, so that there are still a number of questions unanswered. Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
