Cognitive Dynamic Systems: Radar, Control, and Radio [Point of View]

In this article on cognitive dynamic systems, the progress made and the way forward on this multidisciplinary integrative field has been reviewed. The following topics has been discussed: brief historical notes on human cognition; advances made on cognitive radar of the monostatic kind; emergence of cognitive control for the first time, building on the new concept of a two-state model and the significant progress made on cognitive radio on several fronts.

[1]  J. Nash.  Equilibrium Points in N-Person Games. , 1950, Proceedings of the National Academy of Sciences of the United States of America.

[2]  D. Marr.  A theory for cerebral neocortex , 1970, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[3]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[4]  William A. Gardner,et al.  Spectral Correlation of Modulated Signals: Part II - Digital Modulation , 1987, IEEE Transactions on Communications.

[5]  D. O. Hebb,et al.  The organization of behavior , 1988 .

[6]  W. Gardner.  Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[7]  V. Mountcastle.  Perceptual Neuroscience: The Cerebral Cortex , 1998 .

[8]  Burton R. Saltzberg,et al.  Multi-Carrier Digital Communications: Theory and Applications of Ofdm , 1999 .

[9]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[10]  J. Fuster.  Cortex and Mind , 2002 .

[11]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[12]  Steven G. Johnson,et al.  The Design and Implementation of FFTW3 , 2005, Proceedings of the IEEE.

[13]  Simon Haykin,et al.  Cognitive Dynamic Systems , 2006 .

[14]  Alexei A. Koulakov,et al.  A unifying model for activity-dependent and activity-independent mechanisms predicts complete structure of topographic maps in ephrin-A deficient mice , 2005, Journal of Computational Neuroscience.

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

[16]  Sixto Ortiz.  The Wireless Industry Begins to Embrace Femtocells , 2008, Computer.

[17]  Simon Haykin,et al.  Spectrum Sensing for Cognitive Radio , 2009, Proceedings of the IEEE.

[18]  Sungtae Kim,et al.  Sensing Performance of Energy Detector With Correlated Multiple Antennas , 2009, IEEE Signal Processing Letters.

[19]  Vincent K. N. Lau,et al.  A low-overhead energy detection based cooperative sensing protocol for cognitive radio systems , 2009, IEEE Transactions on Wireless Communications.

[20]  V. Chandrasekar,et al.  Short wavelength technology and the potential for distributed networks of small radar systems , 2009, 2009 IEEE Radar Conference.

[21]  Simon Haykin,et al.  Robust Transmit Power Control for Cognitive Radio , 2009, Proceedings of the IEEE.

[22]  H. Vincent Poor,et al.  Collaborative Cyclostationary Spectrum Sensing for Cognitive Radio Systems , 2009, IEEE Transactions on Signal Processing.

[23]  W. O. da Costa Gustavo,et al.  Interference mitigation in cognitive femtocells , 2010, 2010 IEEE Globecom Workshops.

[24]  Wai Ho Mow,et al.  Affordable Cyclostationarity-Based Spectrum Sensing for Cognitive Radio With Smart Antennas , 2010, IEEE Transactions on Vehicular Technology.

[25]  Keith Q. T. Zhang.  Theoretical Performance and Thresholds of the Multitaper Method for Spectrum Sensing , 2011, IEEE Transactions on Vehicular Technology.

[26]  Hai Jiang,et al.  Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[27]  Simon Haykin,et al.  Cognitive Radar: Step Toward Bridging the Gap Between Neuroscience and Engineering , 2012, Proceedings of the IEEE.

[28]  Farhad Khozeimeh,et al.  Brain-Inspired Dynamic Spectrum Management for Cognitive Radio Ad Hoc Networks , 2012, IEEE Transactions on Wireless Communications.

[29]  Simon Haykin,et al.  Cognitive Control , 2012, Proceedings of the IEEE.

[30]  Richard S. Sutton,et al.  Reinforcement Learning , 1992, Handbook of Machine Learning.