NDLI: Maximum likelihood estimation of point scatterers in synthetic aperture radar data

Content Provider	IEEE Xplore Digital Library
Author	Pepin, M.P. Sacchini, J.J.
Copyright Year	1996
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA (Pepin, M.P.; Sacchini, J.J.)
Abstract	The motivation for this research is the recognition of objects from the relative locations of radar point scatterers on the object. Point scatterers are modeled as damped exponential signals. Parametric estimation of the exponential parameters determines the point scatterer locations. Maximum likelihood estimation of exponential parameters in white Gaussian noise provides good results in many exponential estimation problems. In fact, the exponential parameters are estimated with touch better than Fourier resolution. In the case of SAR, however, the white noise is estimated to be quite large even in relatively noiseless images. This is due to energy that is not well modeled by damped exponentials. This unmodeled energy distorts the estimated point scatterer locations. This paper proposes that the unmodeled energy be modeled as unknown colored noise and that maximum likelihood estimation of scatterer locations in unknown colored noise will provide more accurate scatterer locations. New methods for estimating exponential parameters in unknown colored noise are applied to SAR data. These methods efficiently model the points scatterers in SAR data. The new methods achieve a higher estimation accuracy than maximum likelihood estimation of exponentials in white noise.
Starting Page	68
Ending Page	74
File Size	447123
Page Count	7
File Format	PDF
ISBN	0780333063
ISSN	05473578
DOI	10.1109/NAECON.1996.517618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-05-20
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Radar scattering Synthetic aperture radar Scattering parameters Colored noise Gaussian processes Energy resolution Zirconium Array signal processing Radar applications
Content Type	Text
Resource Type	Article

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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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