NDLI: A common basis for analytical clutter representations

Content Provider	IEEE Xplore Digital Library
Author	Gray, J.E.
Copyright Year	2005
Abstract	In order to understand the problems intractable problems nature presents us, we are forced to make simplifications till we arrive at simple analytical models that we are capable of understanding. Such canonical models are rare, but useful as tools for constructing more realistic models that we can use analyze nature. The class of analytical models for clutter analysis limited to those that consist of various amplitude models with the phase noise assumed to have a probability density function that is uniformly distributed. These analytical models can be extended by relaxing the assumption of uniform phase noise to phase noise with non-uniform distributions. It is shown how to determine the probability density function for these non-uniform distributions in general and then the method is illustrated with such distributions as Gaussian, Laplacian, and Chi-squared. This enables one to determine the probability density functions of the individual components of clutter model such as x/sub t/ = v/sub t/ cos(/spl Phi//sub c/). Using the rule for determining the products of distributions, we show that the functional form for x/sub t/ is reduced to evaluating integrals that reduce to elliptical functions. Once the functional form has been determined, it is easy to determine the moments of the PDF and hence completely characterize its statistics.
Sponsorship	Nat. Capital Area Council IEEE Aerospace and Electron. Syst. Soc. RADAR Syst. Panel
Starting Page	365
Ending Page	370
File Size	166937
Page Count	6
File Format	PDF
ISBN	078038881X
DOI	10.1109/RADAR.2005.1435852
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Clutter Phase noise Analytical models Probability density function Random variables Acoustic scattering Rayleigh scattering Laplace equations Statistical distributions Doppler radar
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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