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Proceedings Paper

Parallel Implementation Of Recursive Weighted Least Squares Estimation For Source Dynamic Motion Evaluation
Author(s): Ferial El-Hawary
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Paper Abstract

This paper treats the problem of source dynamic motion evaluation in underwater applications using recursive weighted least squares estimation. The issue of compensating for underwater motion effects arises in a number of areas of current interest such as control and operations of autonomous remotely operated vehicles, underwater seismic exploration, and buoy wave data analysis. Earlier treatments of the problem relied on frequency response methods and Kalman filtering. The present paper discusses the compensation problem using an alternative discrete model of the process and proposes use of the recursive weighted least squares algorithm for its solution. The algorithm is simpler than Kalman filtering in terms of the required knowledge of noise statistics and provides an attractive alternative to Kalman Filtering. Emphasis is given practical implementation using parallel processing and systolic array methodologies.

Paper Details

Date Published: 5 September 1989
PDF: 15 pages
Proc. SPIE 1096, Signal and Data Processing of Small Targets 1989, (5 September 1989); doi: 10.1117/12.960336
Show Author Affiliations
Ferial El-Hawary, Technical University of Nova Scotia (Canada)


Published in SPIE Proceedings Vol. 1096:
Signal and Data Processing of Small Targets 1989
Oliver E. Drummond, Editor(s)

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