DocumentCode
853862
Title
Reducing the Number of Elements in a Linear Antenna Array by the Matrix Pencil Method
Author
Liu, Yanhui ; Nie, Zaiping ; Liu, Qing Huo
Author_Institution
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC
Volume
56
Issue
9
fYear
2008
Firstpage
2955
Lastpage
2962
Abstract
The synthesis of a nonuniform antenna array with as few elements as possible has considerable practical applications. This paper introduces a new non-iterative method for linear array synthesis based on the matrix pencil method (MPM). The method can synthesize a nonuniform linear array with a reduced number of elements, and can be also used to reduce the number of elements for linear arrays designed by other synthesis techniques. In the proposed method, the desired radiation pattern is first sampled to form a discrete pattern data set. Then we organize the discrete data set in a form of Hankel matrix and perform the singular value decomposition (SVD) of the matrix. By discarding the non-principal singular values, we obtain an optimal lower-rank approximation of the Hankel matrix. The lower-rank matrix actually corresponds to fewer antenna elements. The matrix pencil method is then utilized to reconstruct the excitation and location distributions from the approximated matrix. Numerical examples show the effectiveness and advantages of the proposed synthesis method.
Keywords
Hankel matrices; antenna radiation patterns; approximation theory; linear antenna arrays; matrix decomposition; Hankel matrix; antenna radiation pattern; approximation theory; linear antenna array; matrix pencil method; singular value decomposition; Antenna arrays; Antenna radiation patterns; Costs; Linear antenna arrays; Matrix decomposition; Satellite antennas; Satellite communication; Scholarships; Singular value decomposition; Sparse matrices; Array synthesis; low rank approximation; matrix pencil method (MPM); nonuniform antenna arrays; singular value decomposition (SVD); sparse antenna array;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2008.928801
Filename
4618700
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