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Proceedings Paper

Optical householder implementation for adaptive phased array radar processing
Author(s): Edward J. Baranoski; David P. Casasent
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Paper Abstract

A new algorithm using the Householder transform to directly update an inverse data covariance matrix is examined for adaptive phased array radar (APAR) problems This algorithm is shown to operate very efficiently on parallel matrix-vector processors without the need for costly vector outer products. The processing accuracy requirements for this algorithm are shown to be roughly half that of more conventional direct approaches, which nearly doubles the processing speed. We investigate the performance of this algorithm with various jammer scenarios, and incorporate a joint jammer-clutter reduction architecture using a displaced phase center antenna (DPCA).

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1296, Advances in Optical Information Processing IV, (1 September 1990); doi: 10.1117/12.21285
Show Author Affiliations
Edward J. Baranoski, Johns Hopkins Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 1296:
Advances in Optical Information Processing IV
Dennis R. Pape, Editor(s)

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