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K-distribution and polarimetric terrain radar clutterA multivariate K-distribution is proposed to model the statistics of fully polarimetric radar data from earth terrain with polarizations HH, HV, VH, and VV. In this approach, correlated polarizations of radar signals, as characterized by a covariance matrix, are treated as the sum of N n-dimensional random vectors; N obeys the negative binomial distribution with a parameter alpha and mean N-bar. Subsequently, an n-dimensional K-distribution, with either zero or nonzero mean, is developed in the limit of infinite N-bar or illuminated area. The probability density function (PDF) of the K-distributed vector normalized by its Euclidean norm is independent of the parameter alpha and is the same as that derived from a zero-mean Gaussian-distributed random vector.
Document ID
19900033097
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Yueh, S. H.
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Kong, J. A.
(MIT Cambridge, MA, United States)
Jao, J. K.
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Shin, R. T.
(Massachusetts Inst. of Tech. Cambridge, MA, United States)
Novak, L. M.
(MIT Lexington, MA, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1989
Publication Information
Publication: Journal of Electromagnetic Waves and Applications
Volume: 3
Issue: 8 19
ISSN: 0920-5071
Subject Category
Communications And Radar
Accession Number
90A20152
Funding Number(s)
CONTRACT_GRANT: NAG5-270
CONTRACT_GRANT: DACA39-87-K-0022
CONTRACT_GRANT: N00014-83-K-0258
CONTRACT_GRANT: NSF ECS-85-04381
Distribution Limits
Public
Copyright
Other

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