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Proceedings Paper

Neural network approach to multipath delay estimation
Author(s): Stephen T. Welstead; Michael J. Ward; Christopher W. Keefer
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Paper Abstract

Neural networks can be applied to the problem of extracting multipath delay information from the correlation of two signals. The ability of a feedforward neural network to learn the correct delay vector response is demonstrated using both broadband and narrowband correlation data. A trained neural network can be combined with a traditional adaptive algorithm for systems applications such as adaptive interference cancellation. In many cases, the network improves overall system performance by providing a nearly optimal starting point. The use of such an approach in an existing optical processing architecture is discussed.

Paper Details

Date Published: 1 December 1991
PDF: 10 pages
Proc. SPIE 1565, Adaptive Signal Processing, (1 December 1991);
Show Author Affiliations
Stephen T. Welstead, COLSA, Inc. (United States)
Michael J. Ward, Rome Lab. (United States)
Christopher W. Keefer, Rome Lab. (United States)

Published in SPIE Proceedings Vol. 1565:
Adaptive Signal Processing
Simon Haykin, Editor(s)

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