A cognitive approach for radar receiver adaptation

Cognitive radar is a new paradigm to conceive the next radar generation characterized by unique and amazing features inspired to mental abilities and processes related to knowledge. It goes beyond the usual extraction of information from the measurements and requires the radar to get intelligence. Introduced by Haykin [1] and Guerci [2], it is attracting huge attention within the radar community during the last few years. The key concept is that radar system performance can be enhanced through a continuous and coordinated feedback between the transmitter and receiver which implies a dynamic adaptation of the sensor algorithms to the operational context and environmental replies. This paper discusses the biological inspiring principles of cognitive radar and describes the resulting conceptual architecture. Then, a radar signal processing application, which can significantly benefit from cognition, is illustrated highlighting the potential performance improvements achievable with the awesome pro-active paradigm.

[1]  Michael C. Wicks,et al.  Spectrum crowding and Cognitive Radar , 2010, 2010 2nd International Workshop on Cognitive Information Processing.

[2]  Fulvio Gini,et al.  Knowledge-Based Radar Detection, Tracking, and Classification: Gini/Radar Detection , 2008 .

[3]  Joachim Ender,et al.  Cognitive radar - enabling techniques for next generation radar systems , 2015, 2015 16th International Radar Symposium (IRS).

[4]  Richard O. Lane,et al.  Cognitive Radar: the Knowledge-Aided Fully Adaptive Approach. J. R. Guerci Artech House, 16 Sussex Street, London, SW1V 4RW, UK. 2010. 175pp. Illustrated. £66. ISBN 978-1-59693-364-4. , 2011, The Aeronautical Journal (1968).

[5]  A. Farina,et al.  Demonstration of knowledge-aided space-time adaptive processing using measured airborne data , 2006 .

[6]  Augusto Aubry,et al.  Knowledge-Aided (Potentially Cognitive) Transmit Signal and Receive Filter Design in Signal-Dependent Clutter , 2013, IEEE Transactions on Aerospace and Electronic Systems.

[7]  Augusto Aubry,et al.  Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization , 2014, IEEE Transactions on Aerospace and Electronic Systems.

[8]  William L. Melvin,et al.  Space-time adaptive radar performance in heterogeneous clutter , 2000, IEEE Trans. Aerosp. Electron. Syst..

[9]  Simon Haykin,et al.  Cognitive Dynamic Systems: Radar, Control, and Radio [Point of View] , 2012, Proc. IEEE.

[10]  S. Haykin,et al.  Cognitive radar: a way of the future , 2006, IEEE Signal Processing Magazine.

[11]  A. Farina,et al.  Design and analysis of a knowledge-aided radar detector for doppler processing , 2006, IEEE Transactions on Aerospace and Electronic Systems.

[12]  Simon Haykin,et al.  Cognitive Dynamic Systems: Perception-action Cycle, Radar and Radio , 2012 .

[13]  A. Maio,et al.  Mitigation techniques for non-Gaussian sea clutter , 2004, IEEE Journal of Oceanic Engineering.

[14]  James Ward,et al.  Space-time adaptive processing for airborne radar , 1998 .