In this paper, we deal with the analysis of the temporal coherence properties of the signal backscattered from the sea surface, in the hypothesis that it can be modeled as a compound-Gaussian process, Precisely, we address the problem of measuring to what extent a compound-Gaussian process, namely the product of a nonnegative, slowly-varying modulating signal times a rapidly varying Gaussian component, can be approximated by a Gaussian process with random variance. The problem is restated in terms of a binary hypothesis test, wherein the null hypothesis of constant modulating sequence is contrasted to any alternative, The test is calibrated resorting to pseudorandom sequences and, finally, the procedure is applied to measuring the coherence length of sea data collected by scatterometers mounted on the ''Forschungsplatform Nordsee'' during the SAXON experiment in November 1990.

A procedure for measuring the coherence length of the sea texture

Conte E;Di Bisceglie M;Galdi C;
1997-01-01

Abstract

In this paper, we deal with the analysis of the temporal coherence properties of the signal backscattered from the sea surface, in the hypothesis that it can be modeled as a compound-Gaussian process, Precisely, we address the problem of measuring to what extent a compound-Gaussian process, namely the product of a nonnegative, slowly-varying modulating signal times a rapidly varying Gaussian component, can be approximated by a Gaussian process with random variance. The problem is restated in terms of a binary hypothesis test, wherein the null hypothesis of constant modulating sequence is contrasted to any alternative, The test is calibrated resorting to pseudorandom sequences and, finally, the procedure is applied to measuring the coherence length of sea data collected by scatterometers mounted on the ''Forschungsplatform Nordsee'' during the SAXON experiment in November 1990.
1997
Coherence , Gaussian processes , Length measurement , Radar measurements , Random sequences , Sea measurements , Sea surface , Signal analysis , Signal processing , Testing
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12070/1345
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