DocumentCode :
1313561
Title :
High resolution sea clutter data: statistical analysis of recorded live data
Author :
Farina, A. ; Gini, F. ; Greco, M.V. ; Verrazzani, L.
Author_Institution :
Syst. Anal. & Sci. Calculus Group, ALENIA, Rome, Italy
Volume :
144
Issue :
3
fYear :
1997
fDate :
6/1/1997 12:00:00 AM
Firstpage :
121
Lastpage :
130
Abstract :
The paper is devoted to a detailed analysis of experimental data, collected at Osborne Head Gunnery Range with McMaster University IPIX radar, to test theoretical models developed in the literature. The validity of the compound model has been proven for VV polarisation both for amplitude and correlation properties. Cross-polarised data also exhibit a compound behaviour but require an additional Gaussian component due to thermal noise. HH data deviate from the K model and seem to better approach a log-normal distribution. Previous results have been obtained by a correlation test that allows separation of the short and long correlation terms, a modified Kolmogoroff Smirnoff test to verify the fitting and a cumulants domain analysis to quantify the Gaussian component. The interest of the work lies in its application for successful radar design
Keywords :
Gaussian processes; correlation methods; electromagnetic wave polarisation; higher order statistics; log normal distribution; marine systems; radar applications; radar clutter; radar signal processing; radar theory; signal resolution; thermal noise; Gaussian component; HH data; IPIX radar; K model; McMaster University; Osborne Head Gunnery Range; VV polarisation; amplitude properties; compound behaviour; compound model; correlation properties; correlation test; crosspolarised data; cumulants domain analysis; experimental data; high resolution sea clutter data; log-normal distribution; marine radar; modified Kolmogoroff Smirnoff test; radar design; recorded live data; statistical analysis; theoretical models testing; thermal noise;
fLanguage :
English
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2395
Type :
jour
DOI :
10.1049/ip-rsn:19971107
Filename :
600894
Link To Document :
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