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Assessment of soil parameter estimation errors for fusion of multichannel radar measurements

Kurekin, Andriy Alexandrovich, Marshall, Andrew David, Radford, Darren, Lever, Kenneth Vincent and Kulemin, G. 2006. Assessment of soil parameter estimation errors for fusion of multichannel radar measurements. Presented at: 2006 9th International Conference on Information Fusion (ICIF '06), Florence, Italy, 10-13 July 2006. Proceedings of the 9th International Conference on Information Fusion 2006. Piscataway, NJ: IEEE, pp. 1-8. 10.1109/ICIF.2006.301577

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Abstract

The application of multichannel radar measurement techniques for estimation of bare soil parameters is based on different principles of radiowave and soil surface interaction depending on radiowave frequency, polarisation and incidence angle. The accuracy of soil parameter estimation depends on the number of radar measurements and the choice of radiowave parameters. Random and systematic errors present in radar data may also have the impact on estimation results. To improve the accuracy of soil parameters estimation by fusion of multichannel radar data we propose a new method for assessment of estimation errors. It is based on local linear approximation of the radiowave scattering model and takes into account impairment characteristics, measurement conditions and radar parameters. This new method is applied to an example to illustrate how the estimation accuracy of soil moisture and roughness parameters can be improved by optimising the radar operating frequencies

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Engineering
Uncontrolled Keywords: Data fusion; errors; radar measurements; radar scattering model; soil moisture; soil roughness
Publisher: IEEE
ISBN: 9781424409532
Related URLs:
Last Modified: 20 Oct 2017 08:08
URI: http://orca-mwe.cf.ac.uk/id/eprint/21027

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