DocumentCode
1888074
Title
Design and evaluation of a sea clutter simulator
Author
Oyedokun, Titus ; Inggs, Michael
Author_Institution
Dept. of Electr. Eng., Univ. of Cape Town, Rondebosch, South Africa
fYear
2011
fDate
24-29 July 2011
Firstpage
2089
Lastpage
2092
Abstract
This paper outlines the design of a sea clutter simulator based on the K distribution. Sea clutter is the radar backscattered return from the sea surface. Any radar operating in maritime environment must have the ability to compensate for this clutter effect to achieve effective target detection. This is usual done by applying appropriate signal processing techniques. In order to test algorithms, modelling of clutter with appropriate distributions is the preferred technique. In this paper, a method used to generate correlated K distributed clutter as described By Tough and Ward [12] and implemented in software by Glen Davidson [5] have been used to investigate the amplitude characteristics of sea clutter. By using the Kolmogoroff-Smirnoff test, the correlated clutter generated is shown to fit the theoretical K distribution, which is known to model very well the behaviour of sea clutter. This work will be extended to include temporal correlation, and bistatic sea clutter, to be tested against measurement made with the NetRad system described in these proceedings [1].
Keywords
geophysical signal processing; object detection; oceanographic techniques; radar clutter; Kolmogoroff-Smirnoff test; NetRad system; amplitude characteristics; bistatic sea clutter; clutter effect; correlated K distributed clutter; effective target detection; maritime environment; sea clutter simulator; signal processing techniques; temporal correlation; Clutter; Correlation; Radar clutter; Sea measurements; Shape; Sonar navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location
Vancouver, BC
ISSN
2153-6996
Print_ISBN
978-1-4577-1003-2
Type
conf
DOI
10.1109/IGARSS.2011.6049576
Filename
6049576
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