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Frederick E. Daum

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AESS Distinguished Lecturer (2017-2018)
Raytheon Company

Fred Daum is an IEEE Fellow, a senior principal Fellow at Raytheon, and a graduate of Harvard University.  Fred was awarded the Tom Phillips prize for technical excellence, in recognition of his ability to make complex radar systems work in the real world.

He developed, analyzed and tested the real time algorithms for essentially all the large long range phased array radars built by the USA in the last four decades, including: Cobra Dane, PAVE PAWS, Cobra Judy, BMEWS, THAAD, ROTHR, UEWR, and SBX, as well as several shipboard firecontrol systems and air traffic control systems.  These real time algorithms include: extended Kalman filters, radar waveform scheduling, Bayesian discrimination, data association, discrimination of satellites from missiles, calibration of tropospheric and ionospheric refraction, and target object mapping. Fred's exact fixed finite dimensional nonlinear filter theory generalizes the Kalman and Beneš filters.

He has published nearly one hundred technical papers, and he has given invited lectures at MIT, Harvard, Yale, Caltech, Brown, Georgia Tech., Univ. of Connecticut, Univ. of Minnesota, Melbourne Univ., Univ. of New South Wales, Univ. of Canterbury, Univ. of Illinois at Chicago, Washington Univ. at St Louis, McMaster Univ. and Northeastern University.

Technical Areas of Interest: 
Large Long Range Phased Array Radars, Extended Kalman Filters, Bayesian Discrimination
Contact Information
225 Presidential Way

Field of Interest

“The field of interest shall be the organization, systems engineering, design, development, integration, and operation of complex systems for space, air, ocean, or ground environments. These systems include but are not limited to navigation, avionics, mobile electric power and electronics, radar, sonar, telemetry, military, law-enforcement, automatic test, simulators, and command and control."


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