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Proceedings Paper

Chaotic signals for wideband radar imaging
Author(s): Benjamin C. Flores; Emmanuel A. Solis; Gabriel Thomas
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Paper Abstract

We explore the characteristics of chaos for wideband radar imaging. Chaos can be generated via non-linear functions that produce statistically independent samples with invariant probability density functions. By feeding this type of chaos to the input of a voltage-controlled oscillator, a stochastic frequency modulated signal with fractal features is generated. The FM signal is an ergodic and stationary process with initial random phase. The power spectral density of such signal is typically broadband. We show that the time autocorrelation associated with the FM signal provides high range resolution for zero Doppler and dies out rapidly for increasing Doppler shifts. Furthermore, we show that a set of realizations of the signal can be processed into a set of ambiguity surfaces that when averaged yield a low self-noise pedestal.

Paper Details

Date Published: 1 August 2002
PDF: 12 pages
Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478670
Show Author Affiliations
Benjamin C. Flores, Univ. of Texas/El Paso (United States)
Emmanuel A. Solis, Univ. of Manitoba (Canada)
Gabriel Thomas, Univ. of Manitoba (Canada)


Published in SPIE Proceedings Vol. 4727:
Algorithms for Synthetic Aperture Radar Imagery IX
Edmund G. Zelnio, Editor(s)

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