Athens is the historical capital of Europe, with a long history, dating from the first settlement in the Neolithic age. In the 5th Century BC (the “Golden Age of Pericles”) – the culmination of Athens’ long, fascinating history – the city’s values and civilization acquired a universal significance. Over the years, a multitude of conquerors occupied Athens, and erected unique, splendid monuments - a rare historical palimpsest. In 1834, it became the capital of the modern Greek state and in two centuries since it has become an attractive modern metropolis with unrivalled charm.
Compressive sensing (CS) is a novel acquisition and processing technique that enables reconstruction of sparse signals from a set of non-adaptive measurements sampled at a much lower rate than required by the Nyquist-Shannon sampling theorem as pertaining to the full signal bandwidth. In particular, compressive sensing exploits the fact that the information bandwidth of the signal is much smaller than the full signal bandwidth.
For radar and ESM sensors, the use of CS may lead to several benefits, such as significant hardware reductions in ESM receivers, unambiguous signal recovery from incomplete measurements (filling in missing data) in interleaved radar modes (SAR/GMTI, multi-function radars) and sparse arrays, high resolution imaging with significantly less data and/or hardware.
The main objective of this Research Lecture Series is to present the fundamentals and the cutting edge of CS techniques for a number of radar and ESM applications, with an outlook to expected future developments and hardware implications of CS based architectures.
Topics to be covered:
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