Game Theory and Mathematical Economics: A Theoratical Computer Scientist's Introduction
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Settling the Complexity of Two-Player Nash Equilibrium
FOCS '06 Proceedings of the 47th Annual IEEE Symposium on Foundations of Computer Science
Transmit/receive beamforming for MIMO radar with colocated antennas
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Joint transmitter and receiver polarization optimization for scattering estimation in clutter
IEEE Transactions on Signal Processing
Power allocation games for MIMO multiple access channels with coordination
IEEE Transactions on Wireless Communications
Polarimetric MIMO radar with distributed antennas for target detection
IEEE Transactions on Signal Processing
Polarimetric MIMO radar with distributed antennas for target detection
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Polarimetric Detection of Targets in Heavy Inhomogeneous Clutter
IEEE Transactions on Signal Processing
On minimax robustness: A general approach and applications
IEEE Transactions on Information Theory
Competitive Design of Multiuser MIMO Systems Based on Game Theory: A Unified View
IEEE Journal on Selected Areas in Communications
Hi-index | 0.08 |
Polarimetric radar systems allow the flexibility of transmitting arbitrarily polarized waveforms that match the scattering profiles of the target. Since different types of targets have varying profiles, the advantages of a polarimetric radar system can fully be exploited only when the type of target is accurately estimated. However, accurate estimation requires a significant amount of training data, which can be expensive. We propose a polarimetric design scheme for distributed multiple input multiple output (MIMO) radar target detection. We formulate the selection of transmit polarizations using a game theoretic framework by examining the impact of all possible transmit schemes on the detection performance with different available target profiles (see also Gogineni and Nehorai, 2011 [1]). This approach does not require training data, and we show a significant performance improvement due to the polarimetric design. Other radar design problems can also be solved using this game theoretic approach.