NetRAD - Monostatic & Bistatic Sea Clutter Dataset

DOI

This dataset generated by the UCL NetRAD radar system is presented to enable comparative analysis of amplitude and Doppler spectra statistics from monostatic and bistatic sea clutter data at S-band. These data cover a range of bistatic angles from 60° to 120° and include simultaneous monostatic and co-polarised and cross-polarised bistatic recordings, providing direct comparison of their statistical properties.The time series of amplitude data are fitted to the compound K and K + noise distribution in the range domain and in the Doppler domain, and the variation of the shape parameter is presented for monostatic and co-polarised and cross-polarised bistatic data as an indication of the spikiness of the clutter. Analysis of data within this dataset is presented within this paper:Fioranelli, F., Ritchie, M., Griffiths, H., Sandenbergh, S. and Inggs, M. (2016), Analysis of polarimetric bistatic sea clutter using the NetRAD radar system. IET Radar Sonar Navig., 10: 1356-1366. https://doi.org/10.1049/iet-rsn.2015.0416Acknowledgments:If you use this dataset you should reference this data repository and the IET publication listed above. The data is provided with The authors thank the rest of the team from the University of Cape Town who collected the data. The development of the NetRAD system and the experimental campaign were funded by the UK Engineering and Physical Sciences Research Council (EPSRC), THALES UK, THALES NL, Royal Academy of Engineering, and the Office of Naval Research Global (ONR-G). The UCT contribution to the radar development and trials was funded by the South African National Defence Force Project Ledger through student bursaries. Dr F. Fioranelli and Dr M. Ritchie were supported by the IET A F Harvey Prize 2013 awarded to Prof H. Griffiths.

Identifier
DOI https://doi.org/10.5522/04/32676582.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/65710497
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/32676582
Provenance
Creator Ritchie, Matt ORCID logo
Publisher University College London UCL
Contributor Figshare
Publication Year 2026
Rights https://creativecommons.org/licenses/by-nc/4.0/; http://purl.org/coar/access_right/c_abf2
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Construction Engineering and Architecture; Engineering; Engineering Sciences