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Proceedings Paper

Information retrieval and cross-correlation function analysis of random noise radar signal through dispersive media
Author(s): Ana Vazques Alejos; Muhammad Dawood
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Paper Abstract

In this contribution we examine the propagation of an ultrawideband (UWB) random noise signal through dispersive media such as soil, vegetation, and water, using Fourier-based analysis. For such media, the propagated signal undergoes medium-specific impairments which degrade the received signal in a different way than the non-dispersive propagation media. Theoretically, larger penetration depths into a dispersive medium can be achieved by identifying and detecting the precursors, thereby offering significantly better signal-to-noise ratio and enhanced imaging. For a random noise signal, well defined precursors in term of peak-amplitude don't occur. The phenomenon must therefore be studied in terms of energy evolution. Additionally, the distortion undergone by the UWB random noise signal through a dispersive medium can introduce frequency-dependent uncertainty or noise in the received signal. This leads to larger degradation of the cross-correlation function (CCF), mainly in terms of sidelobe levels and main peak deformation, and consequently making the information retrieval difficult. We would further analyze one method to restore the shape and carrier frequency of the input UWB random noise signal, thereby, improving the CCF estimation.

Paper Details

Date Published: 3 May 2012
PDF: 7 pages
Proc. SPIE 8361, Radar Sensor Technology XVI, 836113 (3 May 2012); doi: 10.1117/12.918775
Show Author Affiliations
Ana Vazques Alejos, Univ. of Vigo (Spain)
Muhammad Dawood, New Mexico State Univ. (United States)

Published in SPIE Proceedings Vol. 8361:
Radar Sensor Technology XVI
Kenneth I. Ranney; Armin W. Doerry, Editor(s)

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