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<!-- FUSION 2016 Tutorials --> | <!-- FUSION 2016 Tutorials --> | ||
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<!-- T9 Quantum Physics Methods For Nonlinear Filtering --> | <!-- T9 Quantum Physics Methods For Nonlinear Filtering --> | ||
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| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">T9 Quantum Physics Methods For Nonlinear Filtering</h2> | | style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f2ea7e; text-align:left; color:#000; padding:0.2em 0.4em;">T9 Quantum Physics Methods For Nonlinear Filtering</h2> | ||
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'''Intended Audience:''' The intended audience are engineers, PhD students, or interested people who are working in the field of statistical signal processing, tracking and fusion. | '''Intended Audience:''' The intended audience are engineers, PhD students, or interested people who are working in the field of statistical signal processing, tracking and fusion. | ||
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'''Fred Daum''' is a senior principal Fellow at Raytheon, an IEEE Fellow, a Distinguished Lecturer of the IEEE-AES Society, 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 | '''Fred Daum''' is a senior principal Fellow at Raytheon, an IEEE Fellow, a Distinguished Lecturer of the IEEE-AES Society, 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. 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 several leading institutions. | 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, 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 several leading institutions. | ||
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Latest revision as of 10:54, 29 June 2016
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