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Proceedings Paper

Phase variations in a fluctuation-based processor
Author(s): Ronald A. Wagstaff; Jacob George
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Paper Abstract

Fluctuations are always present in underwater sound propagation, and are generally viewed as a complication in signal detection and identification. However, in some cases where the signals fluctuate less than the noise, it is possible to take advantage of the different magnitudes of fluctuations of signal and noise to improve detection. Wagstaff's integration silencing processor (WISPR) is an example of such a processor. The original version of the WISPR processor utilized power values derived from complex pressures in a given frequency bin, but ignored the phases of these complex pressures. An improved processor that takes advantage of the phase as well as the amplitude is described below. Its performance is verified using measured data, where detection has been accomplished by a margin of 4 decibels. Simulations using synthetic data show that the new processor can be effective for signal-to-noise ratios greater than minus 20 decibels.

Paper Details

Date Published: 7 June 1996
PDF: 10 pages
Proc. SPIE 2751, Hybrid Image and Signal Processing V, (7 June 1996); doi: 10.1117/12.242001
Show Author Affiliations
Ronald A. Wagstaff, Naval Research Lab. (United States)
Jacob George, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 2751:
Hybrid Image and Signal Processing V
David P. Casasent; Andrew G. Tescher, Editor(s)

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