Compressive sensing (CS) is fundamentally interdisciplinary, with interplay between applied/pure mathematics and engineering serving to fertilize new researches opening new frontiers. The impact of CS goes far beyond compression and classical signal processing. Whenever acquiring/inverting data/information is difficult, dangerous, or expensive, CS allows to proceed with much less data/information than previously thought possible. Such a possibility has been rapidly exploited in several and different ranges of practical electromagnetic problems almost always leading to striking results that significantly advance the state‐of‐the‐art.
In view of this, an overview of the latest advances in CS as applied to electromagnetics seems to be useful to highlight current trends also envisaging unknown potentialities in other applicative areas of the electromagnetic scenario.
This course, after reviewing basics and fundamentals of CS, will focus on state‐of‐the‐art and mostly recently introduced CS‐based techniques and algorithms, discussing capabilities, limitations, and perspectives in the following topics: Antenna Synthesis and Design, Antenna Measurements, Adaptive Antennas & Antenna Signal Processing, Inverse Scattering and Microwave Imaging. Applicative examples including exercises and speeches regarding specific applications will corroborate the developed concepts.
- Day 1: CS: INTRODUCTION AND THEORETICAL BASIS
- Day 2: CS IN ANTENNA AND RADAR ENGINEERING
- Day 3: INVERSE PROBLEMS AND IMAGING WITH CS
- Day 4: COMPRESSIVE SENSING IN ARRAY AND ANTENNA PROCESSING
- Day 5: FURTHER ISSUES & ADVANCED TOPICS IN CS