Application of Statistical Linear Time-Varying System Theory to Modeling of High Grazing Angle Sea Clutter
Abstract
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 and/or 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 25, 2017
- Accession Number
- AD1040982
Entities
People
- Corey D. Cooke
- Donald E. Jarvis
Organizations
- United States Naval Research Laboratory