A Mathematical Framework for Interconnected Systems Operating in a 1-D Network
Jean Eugène Piou, PhD
MIT Lincoln Laboratory
A technique to compute the global state space matrices of an interconnected one dimensional (1-D) network from output data of local systems with non-accessible inputs is investigated. Hankel matrices carried out on the data allow computations of the global state space matrices and system dynamics. The proposed technique is tested on radar data collected on a canonical target over single- and sparse-bandwidths over a wide range of aspect angles where data from each frequency is considered as output from a local system. The technique provides wide angle sparse-band images that compare well with truth generated from the full-band radar.
Dr. Piou received his Ph.D. degree in electrical engineering from the Graduate School and University Center of the City University of New York (CUNY), in 1993. Upon graduation, he held visiting professorship at the City University of New York, and assistant professorship at the State of University of New York at Binghamton in 1994. He made significant contributions to the field of eigenstructure assignment for flight control during his tenure.
In 1995, Dr. Piou joined MIT Lincoln Laboratory where he works on large projects and develops advanced control system and signal processing techniques that comprise target tracking, identification and characterization, data fusion and imaging.
Dr. Piou is a senior member of IEEE and AIAA.
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Date and time:
Saturday, December 7, 2019
12:45 PM—2:30 PM