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Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise

Abstract A critical problem for airborne, ship board, and land based radars operating in maritime or littoral environments is the detection, identification and tracking of targets against backscattering caused by the roughness of the sea surface. Statistical models, such as the compound K-distribution (CKD), were shown to accurately describe two separate structures of the sea clutter intensity fluctuations. The first structure is the texture that is associated with long sea waves and exhibits long temporal decorrelation period. The second structure is the speckle that accounts for reflections from multiple scatters and exhibits a short temporal decorrelation period from pulse to pulse. Existing methods for estimating the CKD model parameters do not... (more)
Created Date 2019
Contributor Northrop, Judith (Author) / Papandreou-Suppappola, Antonia (Advisor) / Chakrabarti, Chaitali (Committee member) / Tepedelenlioglu, Cihan (Committee member) / Maurer, Alexander (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Compound K-distribution / curve fitting / parameter estimation / sea clutter / thermal noise
Type Doctoral Dissertation
Extent 156 pages
Language English
Note Doctoral Dissertation Electrical Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis