Fast neural algorithms for detecting moving targets in highly noisy environments

Jacob Barhen; Nikzad Toomarian; Michail Zak

doi:10.1117/12.139392

25 August 1992 Fast neural algorithms for detecting moving targets in highly noisy environments

Jacob Barhen, Nikzad Toomarian, Michail Zak

Proceedings Volume 1698, Signal and Data Processing of Small Targets 1992; (1992) https://doi.org/10.1117/12.139392
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

The detection of targets moving in an environment dominated by "noise" is addressed from the perspective of nonlinear dynamics. Sensor data are used to drive a Korteweg-deVries (soliton) equation, inducing a resonance-type phenomenon which indicates the presence of hidden target signals. The algorithm is implemented in terms of a novel neural architecture, which we have named "spectral network", which can easily be implemented in optoelectronic hardware.

Citation Download Citation

Jacob Barhen, Nikzad Toomarian, and Michail Zak "Fast neural algorithms for detecting moving targets in highly noisy environments", Proc. SPIE 1698, Signal and Data Processing of Small Targets 1992, (25 August 1992); https://doi.org/10.1117/12.139392

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