NDLI: The Pareto distribution for low grazing angle and high resolution X-band sea clutter

Content Provider	IEEE Xplore Digital Library
Author	Farshchian, M. Posner, F.L.
Copyright Year	2010
Description	Author affiliation: Naval Research Laboratory (Farshchian, M.; Posner, F.L.)
Abstract	A radar pulse that impinges upon a radar resolution area of the sea surface produces backscattered returns which are called sea clutter. For low grazing angles and very fine radar cell resolution areas, the clutter intensity distribution departs significantly from the exponential distribution. In this case, the clutter is said to display spiky behavior and the distribution of the intensity develops a much longer tail relative to the exponential distribution. Statistical analysis of collected data near a grazing angle of 0.2° at X-band from the sea off the coast of Kauai, Hawaii are examined relative to the log-normal, Weibull and K distributions. Based on an analogy of sea clutter and other disciplines including computer networks and finance, we also apply the Pareto distribution to the collected data. We also compare the data to the WW and KK two-population mixture distributions. Maximum likelihood estimation of the parameters of the distributions are obtained from the measured data. In all cases, the two population mixture distributions and the Pareto distribution are more accurate than the three classical distributions. However the Pareto distribution has the advantage of being an analytically tractable two parameter distribution while having similar accuracy to the five parameter WW and KK at critical values.
Starting Page	789
Ending Page	793
File Size	1602374
Page Count	5
File Format	PDF
ISBN	9781424458110
ISSN	10975659
e-ISBN	9781424458127
DOI	10.1109/RADAR.2010.5494513
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Radar clutter Exponential distribution Sea surface Displays Probability distribution Statistical analysis Computer networks Finance Maximum likelihood estimation Sea measurements
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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