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About the Authors

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Mohinder S. Grewal, Ph.D., P.E., is well known for his innovative application of Kalman filtering techniques to real world modeling problems and his ability to communicate this complex subject to his students. His original research appears in IEEE and ION refereed journals and proceedings. He holds patents in GUS clock steering and L1/L5 differential bias estimation. Dr. Grewal is Professor of Electrical Engineering at California State University, Fullerton, which awarded him its 2008-2009 Outstanding Professor Award. His consulting associations include Raytheon Systems, Boeing Company, Lockheed‐Martin, University of California, Riverside, staff of the US Department of the Interior, Geodetics, and Northrop. He is a Senior Member of IEEE and member of the Institute of Navigation. His Ph.D. in Control Systems and Computers is from University of Southern California.

Angus P. Andrews derived the first electrostatic bearing torque parametric models for calibrating electrostatic gyroscopes in 1967 at the Autonetics Division of Rockwell International, and then saw its development through two generations of strapdown inertial navigation systems to the N73 competitor for the US Air Force Standard Navigator. His career in inertial navigation also included derivations of new square root filtering formulas. His undergraduate degree is from MIT and his Ph.D. in mathematics is from University of California, Los Angeles.

Chris G. Bartone, Ph.D., P.E., is a professor at Ohio University with over 35 years experience in communications, navigation, and surveillance systems. He received his Ph.D., E.E. from Ohio University, M.S.E.E. from the Naval Postgraduate School, and B.S. E.E. from The Pennsylvania State University. Dr. Bartone has developed and teaches a number of GNSS, antenna, and microwave classes. He is a recipient of the RTCA William E. Jackson award, the ION Captain P.V.H. Weems award, and is a Fellow of the ION. His research concentrates on all aspects of navigation systems.

Global Navigation Satellite Systems, Inertial Navigation, and Integration

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