[phpwiki] GprPapers

If a conference is a great place to test new ideas, then the net is even better! If you have any papers you wish to publish, how about writing them up on this site? It is the quickest way to receive comments and criticism. I realise that it is not possible to produce great looking papers with lots of pictures and neatly written equations directly on the site. However, I don't see this as a problem. You can still link pictures using url links and write equations in text. You can always provide a link to a LaTeX version/ps or pdf version of your document, on your own web site.
I have suggested a format for describing the papers. People are encouraged to either add comments directly to the paper or make comments in the paper comments page. Remember that for all papers presented here, the authors have asserted their copyright. People who wish to contribute to a paper must negotiate directly with the authors.


Title:GPR: More than ranging and detection
Author: AlanLangman and Mike Inggs
Abstract:
RADAR is an acronym for RAdio Ranging and Detection, however GPR is alot more than simply detecting and determining the distance to a target. This paper provides a high level view of the GPR problem space using a simple linear systems model.
Full Paper: GPRMoreThanRangingandDetection
Status: Almost complete
Comments: GPRMoreThanRangingandDetectionComments


Title: Comparing Pulse and Stepped Frequency Continous Wave Modulation GPR
Author: AlanLangman and Mike Inggs
Abstract:
SFCW and Pulse radar are often compared using the concept of frequency domain bandwidth and sidelobe levels of the radar system impulses response. However this is not sufficient when comparing frequency and time domain radar modulation techniques. This papers addresses these issues.
Full Paper:PulsevsSteppedFrequencyModulation
Status: In progress 85
Comments: PulsevsSteppedFrequencyModulationComments


Title: A Vectorspace approach to Stepped Frequency Continuous Wave Radar Processing
Author: AlanLangman and Mike Inggs
Abstract:
Various signal processing methods exist to extract spatial information from stepped frequency radar waveforms. This paper presents an alternative method of formulating the equations used to describe the SFCW processing. The target returns are represented as vectors which span the spatial frequency space representing the radar returns. Constructing a orthonormal basis function from the 'target vectors' results in equivalent solutios to the Discrete Frequency Transformation - the classical SFCW processing methodology. By choosing a basis vector that corresponds to the true target returns the 'super resolution' equations can be derived. ---more to follow
Full Paper:VectorSpaceApproachToSfcwRadar
Status: In progress 0
Comments: VectorSpaceApproachToSfcwRadarComments

Title: A simple electromagnetic model for Ground Penetrating Radar
Author: AlanLangman and Mike Inggs
Abstract:
The development of a simple model for signal processing based on the undelying electromagnetic principles is an area of SFCW GPR research that is greatly ignored. The models used are based more on the signal processing demands and rudimentary free space EM and radar modulation theory. This paper develops a signal processing model based on the radar geometry and the electromagnetic propagation in a lossy medium and across a dielectric boundary. The model is shown to be equivalent to the exponential model found in signal processing theory. The signal processing model parameters are explained using the physical understanding of the model.
Full Paper:SimpleElectromagneticModelForGpr
Status: In progress 0
Comments: SimpleElectromagneticModelForGprComments



Title: Parametric Estimation Algorithm for a SFCW Polarimetric Radar
Author: AlanLangman and Mike Inggs
Abstract:
This paper presents an algorithm to extract the model parameters from SFCW Polarimetric GPR data. The paper develops a simple polarimetric model to describe the raw radar returns for a multichannel polarimetric SFCW radar. The model is then related to the multichannel polarimetric exponential models found in the literature. By making certain assumptions about the dispersion of the medium versus that of the target and that the target dispersion is the same for all polarisations, it is possible to solve for the model parameters describing the target. Two algorithms are used to extract these parameters, one based on standard FFT processing and the other using a LS estimator. Results for real and simulated data are presented.
Full Paper:ParametricEstimationGprAlgorithm
Status: In progress 0
Comments: ParametricEstimationGprAlgorithmComments


Title: Extracting target invariant and medium independant parameters for target identification
Author: AlanLangman and Mike Inggs
Abstract:
In this paper we present the theory that is used to extract target invariant and medium independant parameters from polarimetric GPR data. The theory of polarimetry is a diverse and well researched field that has been applied to numerous aspects of radar imagery. This paper applies this theory to the GPR problem. The paper shows that (under certain assumptions) it is possible to extract targer parameters that can be decomposed into the medium dependant and independant components. An algorithm is presented that allows one to extract these target parameters from a stepped frequency continuous wave radar. Both simulated and real radar results are presented.


Full Paper:TargetAndMediumIndependantParameters
Status: In progress 0
Comments: TargetAndMediumIndependantParametersComments



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