Fiscal Year	2013
Division	Research & Sponsored Programs
Department	Center for Decision, Risk, Controls & Signals Intelligence
Investigator(s)	Sritharan, Sivaguru S.
Sponsor	National Reconnaissance Office (DoD)
Summary	Autonomous cognitive radios that can efficiently scan a wide spectrum over several GHz and be able to self reconfigure its communications mode in response to the perceived state of the spectrum promise the potential to achieve communications requirements of a user in the presence of adverse conditions as well as provide SIGINT. To realize the goal of such a wideband autonomous cognitive radio within the physical constraints, however, there is a need for efficient wideband sensing and blind classification algorithms. The radio must also be equipped with PHY/MAC decision-making algorithms that can self configure its communications mode in response to the results from these spectrum classification outcomes. This proposal outlines a research plan to develop a) efficient and robust wideband spectrum sensing algorithms suitable for jammed and cluttered RF environments, b) blind non-parametric signal classification algorithms suitable for unknown RF environments, and c) game-theoretic PHY/MAC decision-making algorithms to real-time reconfigure the radio's communications mode to meet multiple performance objectives including jammer-resistance, delay constraints and power and spectral efficiency.
Keywords
Publications	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data	Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal