Paper
3 May 2012 Information retrieval and cross-correlation function analysis of random noise radar signal through dispersive media
Ana Vazques Alejos, Muhammad Dawood
Author Affiliations +
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ana Vazques Alejos and Muhammad Dawood "Information retrieval and cross-correlation function analysis of random noise radar signal through dispersive media", Proc. SPIE 8361, Radar Sensor Technology XVI, 836113 (3 May 2012); https://doi.org/10.1117/12.918775
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Cited by 2 scholarly publications.
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KEYWORDS
Interference (communication)

Wave propagation

Dielectrics

Vegetation

Signal to noise ratio

Radar

Soil science

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