NDLI: Design of an Adaptive Wideband Beamforming Algorithm for Conformal Arrays

Content Provider	IEEE Xplore Digital Library
Author	Rasekh, M. Seydnejad, S.R.
Copyright Year	1997
Abstract	Wideband conformal arrays are increasingly used in modern communication systems due to their flexibility in attaching to arbitrary surfaces. However, designing such arrays has been limited to pattern synthesis techniques because of the complexity of their geometrical analysis and the different contribution of each sensor in the array response. These techniques are basically non-adaptive data independent methods and are not suitable for dynamic environments. In this letter, the conventional Frost space-time wideband beamforming method and its associated Linearly Constrained Minimum Variance (LCMV) algorithm are employed to develop an adaptive wideband beamforming method for an arbitrarily shaped conformal array. The constraint matrix used in the LCMV algorithm is modified to include the pattern of each individual sensor, thereby incorporating the element responses into the weight adjustment algorithm. A set of angle-frequency constraints are used in the proposed LCMV formulation to achieve the desired frequency-invariant beampattern. It is shown by a comprehensive example of a typical conical array that the desired beampattern can be obtained in an adaptive manner for a time-varying target.
Starting Page	1955
Ending Page	1958
Page Count	4
File Size	439905
File Format	PDF
ISSN	10897798
Volume Number	18
Issue Number	11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Adaptive arrays Wideband Vectors Interference acoustic communication Conformal array wideband beamforming space-time processing sensor array processing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications

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