Knowledge based signal processing, waveform diversity and systems engineering

Future multi-mission / multi-mode sensors and radio frequency systems will have to operate in electromagnetically dense signal environments. Furthermore, a diverse cadre of concepts may result in a variety of fielded systems, all operating in close proximity to each other. While this ever growing collection of concepts bodes well for the rapid transition of new technology, these systems must share spectrum, measured data, and mission responsibility in order to perform in an economical and effective manor. Key to the successful fielding of these new sensors is knowledge based control of signal processing algorithms and radiated waveforms, as well as platform dynamics. In this tutorial, foundational technologies and their functional relationships will be presented in order to illustrate performance improvements relative to classical approaches. Knowledge Based STAP, Expert Systems CFAR, RF Tomography and Sensors as Robots technologies are presented as offering a way forward from a radar perspective.