Congratulations to Dr. Ivan Kadar, the recipient of the 2017 Joseph Mignogna Data Fusion Award
The Mignogna award is presented for significant lifetime contributions to the growth and recognition of data fusion, and to increased understanding of the underlying processes and technology, which it encompasses. Over the course of Ivan's career at Grumman/Northrop Grumman, IBM T.J. Watson Research Center, and Interlink Systems Sciences, Inc., a small business he founded, Ivan has made significant contributions to all aspects of data fusion technology. Ivan has been contributing to our community since its early days, as indicated for example by his paper on "Data Fusion by Perceptual Reasoning and Prediction² that appeared in the Proceedings of the First Tri-Service Data Fusion Symposium in 1987. In 1990 he received the IEEE Region 1 award for his contributions in applying knowledge-based processing to information fusion. Since then, Ivan has done extensive work on advanced multi source tracking systems for systems such as the E-2, developed new tracking and fusion capabilities for JSTARS applications, and done fundamental work in distributed fusion. Ivan has been a leader serving our community, including editing, (initially co-editing) SPIE Proceedings on Signal Processing, Sensor Fusion and Target Recognition for over 25 years; he is a Fellow of the SPIE. As many of us know Ivan has also served on the NSSDF committee since its inception. Ivan has been a valued teacher to many students, has advised various Government organizations on data fusion related technologies, and collaborated with many of us on programs over the years. He was a founding member of the International Society of information Fusion (ISIF). I personally have fond memories of my first meetings with Ivan under the DARPA DTT program.
Two things buried deep in Ivan¹s resume that you may not be aware of are that Ivan was an important contributor to both the GPS and the Lunar Module (LM) Programs. Towards GPS, Ivan was responsible for and worked on the design, development and field test of an inverted ground-based satellite pseudo-noise navigation system, including designs of correlation receiver, all algorithms, multipath modeling/prediction, transmitters placement via GDOP, hardware implementations, error propagation models, performance prediction, and post-hoc data analysis, forerunner to the US Air Force Global Positioning System (GPS). For the LM, Ivan contributed to the design optimization, performance prediction and implementation of the communications systems for the Lunar Module as a member of the Grumman Aerospace Corporation Lunar Module Communications Subsystems Group. These systems provided the capability for voice, television, data and telemetry communications and two-way ranging between the Lunar Module, Command Module and the Manned Space Flight Network both for in-flight and Lunar Surface Extra-Vehicular Astronaut communications and television transmission used on the Apollo 11 Mission, and for this work Ivan has a place on the Wall of Honor at the Smithsonian National Air and Space Museum. These are two of many examples, dating back over 50 years, of Ivan¹s significant contributions to our community and our nation.