FRED DAUM
Fred Daum is an IEEE Fellow, and he is a graduate of Harvard University. Fred is also a senior principal
Fellow at Raytheon. 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. These real time
algorithms include: extended Kalman filters, radar waveform scheduling, Bayesian discrimination, data association, track
initiation, discrimination of satellites from missiles, calibration of tropospheric and ionospheric refraction, and target
object mapping. Fred's nonlinear filter theory has been applied by engineers at Boeing for the boost phase intercept problem,
with results that are vastly superior to the extended Kalman filter. Fred's 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, Brown, Georgia Tech., University of Connecticut, Univ. of Minnesota, Melbourne Univ., Univ. of New South Wales, Univ.
of Illinois at Chicago and Northeastern University.
Fred Daum is an IEEE Fellow, and he is a graduate of Harvard University. Fred is also a senior principal
Fellow at Raytheon. 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. These real time
algorithms include: extended Kalman filters, radar waveform scheduling, Bayesian discrimination, data association, track
initiation, discrimination of satellites from missiles, calibration of tropospheric and ionospheric refraction, and target
object mapping. Fred's nonlinear filter theory has been applied by engineers at Boeing for the boost phase intercept problem,
with results that are vastly superior to the extended Kalman filter. Fred's 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, Brown, Georgia Tech., University of Connecticut, Univ. of Minnesota, Melbourne Univ., Univ. of New South Wales, Univ.
of Illinois at Chicago and Northeastern University.