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Proceedings Paper

An Optically Implemented Multiple-Stage Kalman Filter Algorithm
Author(s): William A. Roemer; Peter S. Maybeck
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Paper Abstract

A working paper is presented on the mathematical development and analysis of an optically implemented multiple-stage Kalman filter algorithm which uses two previously developed estimation models (linear first-order Gauss-Markov and constant turn-rate) for high energy laser pointing and tracking. An overview of the estimation models reveals model equivalence in mid- to long-range tracking applications and superiority of the constant turn-rate model (at the expense of a much higher computational burden) for both short-range and evasive target tracking. Real world constraints are to be forcibly imposed on the optical filter by limiting the choice of all system components to off-the-shelf units whose performance criteria are well characterized. Derivation of the filter architecture subject to the real world constraints shows the pielined iterative systolic array architecture to be significantly superior. Filter development based on this architecture is expected to generate a MTF which yields superior performance of the optical filter over its electronic counterpart based both on the output statistics produced and system throughput capability Additional analyses of filter performance reveal potential filter enhancement with the incorporation of range and relative velocity data obtained through use of a laser doppler velocimeter and an optical heterodyne detector. Current and planned future research efforts are also presented.

Paper Details

Date Published: 28 November 1983
PDF: 9 pages
Proc. SPIE 0431, Real-Time Signal Processing VI, (28 November 1983); doi: 10.1117/12.936462
Show Author Affiliations
William A. Roemer, Air Force Institute of Technology (United States)
Peter S. Maybeck, Air Force Institute of Technology (United States)


Published in SPIE Proceedings Vol. 0431:
Real-Time Signal Processing VI
Keith Bromley, Editor(s)

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