NDLI: Target classification for phase array radar using the minimum norm criteria

Content Provider	IEEE Xplore Digital Library
Author	Willis, A.J. De Mello Koch, R.
Copyright Year	1992
Description	Author affiliation: Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa (Willis, A.J.; De Mello Koch, R.)
Abstract	Using SVD a reconstruction consistent with the minimum norm criteria is derived. The resulting algorithm is able to profile an arbitrary target bearing distribution from the readings received at an arbitrary number of sensors with arbitrary directional characteristics and locations; in a noisy environment. The algorithm produced using this method represents an advance on previous multiple snapshot techniques designed to identify a limited number of point targets through parametric search. The more rapid process of a single matrix decomposition is employed to give the minimum norm estimate applicable to an arbitrary target profile-this being derived in principle from a single snapshot. The algorithm is well suited to the inclusion of a priori knowledge, which gives flexibility in speed and resolution.<>
Starting Page	11
Ending Page	16
File Size	272853
Page Count	6
File Format	PDF
ISBN	0780308077
DOI	10.1109/COMSIG.1992.274321
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-09-11
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phased arrays Radar Sensor arrays Geometry Integral equations Solid modeling Matrix decomposition Working environment noise Data mining Decision support systems
Content Type	Text
Resource Type	Article

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