Doppler characteristics of sea clutter at K-band and W-band: results from the St Andrews and Coniston water trials

Samiur Rahman*, Aleksanteri Benjamin Vattulainen, Duncan A. Robertson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

This study reports on the experimental results from two field trials conducted by the University of St Andrews, focusing exclusively here on Doppler data. The first trial was at the Bruce Embankment in St Andrews, UK (winter 2020) and the second one was at Coniston Water in the Lake District, UK (autumn 2022). A 24 GHz K-band radar and a 94 GHz W-band radar were used in both trials to collect sea clutter data for phenomenology studies. As very few sea clutter data and analysis of these are available in the literature at these high frequencies, the results are expected to be of general interest within this field of study. The data collection at both trials was done for low grazing angles in the littoral zone. The datasets are quite varied in terms of wave direction, polarization and wind speed. The Doppler signatures and corresponding statistical parameters for these various conditions are reported here. The spectral analysis of different wave types (burst, whitecap, rough surface scattering) along with the combined spectra are also discussed. It is anticipated that these empirical results will be the precursor for improving upon the frequency ranges of existing sea clutter Doppler models.
Original languageEnglish
Title of host publicationIEEE International Radar Conference 2023, Sydney (RADAR)
PublisherIEEE
Number of pages6
ISBN (Electronic)9781665482783
ISBN (Print)9781665482790
DOIs
Publication statusPublished - 28 Dec 2023
EventInternational Radar Conference 2023 - Sydney, Australia
Duration: 6 Nov 202310 Nov 2023
https://www.radar2023.org/

Conference

ConferenceInternational Radar Conference 2023
Abbreviated titleRadar 2023
Country/TerritoryAustralia
CitySydney
Period6/11/2310/11/23
Internet address

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