Application of Statistical Linear Time-Varying System Theory to Modeling of High Grazing Angle Sea Clutter
Technical Report,01 Jan 2017,31 May 2017
NAVAL RESEARCH LAB WASHINGTON DC WASHINGTON
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Historically, radar returns from the sea surface have generally been modeled one of two ways--either a a quasi-deterministic fashion using electromagnetic scattering theory combined with a random realization of physical sea surface based on insights from hydrodynamics or b using a primarily statistical formulation of the amplitude envelope using assumptions about the distribution of scatterers within a resolution cell based on vague physical insights. However, these models suffer from excessive computational andor conceptual complexity or have highly restrictive regimes of applicability. In this work, we present an alternative characterization of sea clutter returns utilizing statistical linear time-varying system theory in an attempt to provide a more general model that works in a wider variety of circumstances while retaining a competitively low computational burden. It is hoped that the compactness of this mathematical representation will facilitate more rapid development of effective clutter mitigation techniques in the future.