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A combined sea clutter and noise model appropriate to the operation of high‐frequency pulsed Doppler radar in regions constrained by external noise
Author(s) -
Gill Eric W.,
Walsh John
Publication year - 2008
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2007rs003757
Subject(s) - clutter , noise (video) , acoustics , radar , computer science , aliasing , stationary target indication , constant false alarm rate , doppler effect , undersampling , radar horizon , white noise , bistatic radar , physics , algorithm , remote sensing , geology , radar imaging , telecommunications , artificial intelligence , astronomy , image (mathematics)
In recent years, bistatic pulsed high‐frequency ground wave radar models of the ocean clutter have been developed. Several new features, distinct from earlier monostatic developments, appear as products of those analyses. One question that needs to be addressed is, “What characteristics of the theoretical clutter models are likely to be visible in experimental data collected from the ocean surface?” A major consideration in answering this question is the development of an appropriate noise model. Such a model along with an analogous clutter model is derived. This allows a simulation of time series data for both clutter and noise which may be treated using standard Fourier transform techniques to provide a periodogram for the typical combined noise/clutter spectrum of scattering from the ocean surface. The analysis proceeds on the assumption of an externally noise‐limited system, with the noise being characterized as a white Gaussian zero‐mean process. The aliasing due to noise undersampling is seen to be an integral part of the model. Statistical stationarity is assumed throughout. Both infinite and finite pulse trains are considered.