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TUTORIALS
Prof. Tapan K. Sarkar

Biography:Tapan K. Sarkar is a Professor in the Department of Electrical and Computer Engineering, Syracuse University. His current research interests deal with numerical solutions of operator equations arising in electromagnetics and signal processing with application to system design. He has authored or coauthored more than 300 journal articles and numerous conference papers and 32 chapters in books and fifteen books, including his most recent ones, Iterative and Self Adaptive Finite-Elements in Electromagnetic Modeling (Boston, MA: Artech House, 1998), Wavelet Applications in Electromagnetics and Signal Processing (Boston, MA: Artech House, 2002), Smart Antennas (IEEE Press and John Wiley & Sons, 2003), History of Wireless (IEEE Press and John Wiley & Sons, 2005), and Physics of Multiantenna Systems and Broadband Adaptive Processing (John Wiley & Sons, 2007), Parallel Solution of Integral Equation-Based EM Problems in the Frequency Domain (IEEE Press and John Wiley & Sons, 2009), Time and Frequency Domain Solutions of EM Problems Using Integral Equations and a Hybrid Methodology (IEEE Press and John Wiley & Sons, 2010), and Higher Order Basis Based Integral equation Solver (HOBBIES) (John Wiley & Sons 2012) .


Dr. Sarkar is a Registered Professional Engineer in the State of New York. He was the 2014 President of the IEEE Antennas and Propagation Society. According to Google Scholar, he has a H-index of 60 with 14,853 citations to his work.


He is also the president of OHRN Enterprises, Inc., a small business incorporated in New York state (1985) performing various research work for various organizations in system analysis.


He received Docteur Honoris Causa from Universite Blaise Pascal, Clermont Ferrand, France in 1998, from Politechnic University of Madrid, Madrid, Spain in 2004, and from Aalto University, Helsinki, Finland in 2012. He received the medal of the friend of the city of Clermont Ferrand, France, in 2000.


Title: FUTURISTIC ADAPTIVE SYSTEMS

Abstract: In the adaptive beamforming methodology used in the signal processing community, typically the adaptive weights are connected to each one of the antenna elements in the array and the processing information is generated over time, as the correlation matrix of the data needs to be formed. In the electromagnetic community however, the procedure is to carry out beam forming. However, in a system implementation, the practical requirements are quite different from these two disjoint theoretical philosophies, as in a real system the objective is to extract the signal of interest out of interferers, clutter, jammers and on. What makes the problem interesting and the classical solution methodologies not relevant in practice, as illustrated by the non-existence of a real system after fifty years of the discovery the adaptive methodologies, is because it is not only necessary to cancel the interferers and extract the signal of interest when they are located by less than a beam width of the array, but also, the direction of the arrival of the interferers are not known a priori as it is a part of the solution process itself and therefore beam forming has little use! In addition there can be blinking jammers which make a temporal implementation of the adaptive methodology not meaningful.


It is important to note that an antenna is a temporal filter as one can perform temporal filtering as is usually done in the signal processing community but it is also a spatial filter which is the methodology pursued in the antenna community. However, these two diverse properties are interrelated and that is why one solves Maxwell equations as these two properties are related exactly through the Maxwell equations. Understanding of this basic principle of antenna engineering can make it possible to address problems which are difficult to solve using exclusively only any one of these classical methodologies.


The objective of this short course is to illustrate that a same antenna array can be used to detect signals coming from two different directions at two different frequencies using the same antenna array. This process can be carried out in the presence of both coherent and incoherent interferers also arriving at different frequencies from different directions and impinging on the same antenna array. This methodology can not only address the case of using directive antennas as elements but it can operate in the presence of other electromagnetic artifacts which can distort their functional properties and in the presence of blinking jammers.



 
 




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