Statistical analysis of measured polarimetric clutter data at different range resolutions
Statistical analysis of measured polarimetric clutter data at different range resolutions
- Author(s): M. Greco ; F. Gini ; M. Rangaswamy
- DOI: 10.1049/ip-rsn:20060045
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- Author(s): M. Greco 1 ; F. Gini 1 ; M. Rangaswamy 2
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View affiliations
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Affiliations:
1: Dipartimento di Ingegneria dell'Informazione, Universitá di Pisa, Pisa, Italia
2: Dipartimento di Ingegneria dell'Informazione, Air Force Research Laboratory Sensors Directorate, USA
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Affiliations:
1: Dipartimento di Ingegneria dell'Informazione, Universitá di Pisa, Pisa, Italia
- Source:
Volume 153, Issue 6,
December 2006,
p.
473 – 481
DOI: 10.1049/ip-rsn:20060045 , Print ISSN 1350-2395, Online ISSN 1359-7086
This paper deals with the statistical modelling of radar backscattering from sea surface at low-grazing angles in high resolution radar systems. High-resolution polarimetric data at different range resolutions (60, 30, 15, 9 and 3 m) are analysed to highlight the differences in clutter statistical behaviour due to changes of resolution and/or polarisation. The clutter data were recorded by the IPIX radar of McMaster University in Grimsby, Ontario, Canada.
Inspec keywords: backscatter; radar clutter; radar polarimetry; statistical analysis; radar resolution
Other keywords:
Subjects: Radar equipment, systems and applications; Radar theory; Other topics in statistics
References
-
-
1)
- E. Jakeman , P.N. Pusey . A model for non-Rayleigh sea echo. IEEE Trans. Antennas Propag. , 806 - 814
-
2)
- E. Conte , M. Longo . Characterisation of radar clutter as a spherically invariant random process. IEE Proc. F , 2 , 191 - 197
-
3)
- E.L. Lehmann . Testing statistical hypotheses, Springer texts in statistics.
-
4)
- K.D. Ward , C.J. Baker , S. Watts . Maritime surveillance radar. Part I: radar scattering from ocean surface. IEE Proc. F , 2 , 51 - 62
-
5)
- F. Gini , M. Greco . Texture modelling, estimation and validation using measured sea clutter data. IEE Proc. Radar Sonar Navig. , 3 , 115 - 124
-
6)
- F. Gini . A cumulant-based adaptive technique for coherent radar detection in a mixture of K-distributed clutter and Gaussian disturbance. IEEE Trans. Signal Process. , 6 , 1507 - 1519
-
7)
- A. Farina , F. Gini , M. Greco , L. Verrazzani . High resolution sea clutter data: a statistical analysis of recorded live data. IEE Proc. F , 3 , 121 - 130
-
8)
- Rangaswamy, M., Michels, J.H.: `A parametric multichannel detection for correlated non-Gaussian random processes', Proc. National Radar Conference, May 1997, Syracuse, NY, USA, p. 349–354.
-
9)
- M. Rangaswamy , D.D. Weiner , A. Ozturk . Computer generation of correlated non-Gaussian radar clutter. IEEE Trans. Aerosp. Electron. Syst. , 1 , 106 - 116
-
10)
- Fay, F.A., Clarke, J., Peters, R.S.: `Weibull distribution applied to sea-clutter', Proc. IEE Conf. on Radar '77, 1977, London, UK, p. 101–103.
-
11)
- T.J. Barnard , D.D. Weiner . Non-gaussian clutter modeling with generalized spherically invariant random vectors. IEEE Trans. Signal Process. , 10 , 2384 - 2390
-
12)
- M. Greco , F. Gini , H. Simon . (2006) Sea clutter non-stationarity: the influence of long-waves, Adaptive radar: toward the development of cognitive radar.
-
13)
- M. Dyakonov . (2005) Private communications.
-
14)
- M. Rangaswamy , J.H. Michels , D.D. Weiner . Multichannel detection algorithm for correlated non-Gaussian random processes based on innovations. IEEE Trans. Signal Process. , 8 , 1915 - 1922
-
15)
- M. Rangaswamy , D. Weiner , A. Ozturk . Non-Gaussian random vector identification using spherically invariant random processes. IEEE Trans. Aerosp. Electron. Syst. , 111 - 123
-
16)
- B. Sadler , G.B. Giannakis , K.S. Lii . Estimation and detection in the presence of non-Gaussian noise. IEEE Trans. Signal Process , 10 , 2729 - 2741
-
17)
- E. Conte , A. De Maio , C. Galdi . Statistical analysis of real clutter at different range resolutions. IEEE Trans. Aerosp. Electron. Syst. , 3 , 903 - 918
-
18)
- Rangaswamy, M., Michels, J.H.: `Adaptive signal processing in non-Gaussian noise backgrounds', Proc. 9th IEEE-SSAP Workshop, September 1998, Portland, OR.
-
19)
- S.M. Kay . (1998) Fundamentals of statistical signal processing, estimation theory.
-
1)
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