DocumentCode
1445125
Title
Manifold studies of nonlinear antenna array geometries
Author
Manikas, Athanassios ; Sleiman, Adham ; Dacos, Ioannis
Author_Institution
Dept. of Electr. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
Volume
49
Issue
3
fYear
2001
fDate
3/1/2001 12:00:00 AM
Firstpage
497
Lastpage
506
Abstract
The manifold of a general two- or three-dimensional (2-D or 3-D) array of sensors is studied using differential geometry. By considering the azimuth and elevation angles as the parameters of interest, a manifold surface is formed embedded in a multidimensional complex space, initially, this surface is investigated by establishing a number of differential geometry parameters associated with the array manifold. Then, the concept of development is proposed for mapping manifold surfaces (embedded in a multidimensional complex space) on the real 2-D parameter plane. The proposed mapping preserves certain differential geometry characteristics of the manifold surface and provides a simplified representation for the analysis. The potential benefits of this mapping, as well as of the proposed parameters, are demonstrated in the analysis of 3-D and planar arrays of omnidirectional sensors and in a number of potential applications, varying from array design to handling the array ambiguity problem
Keywords
array signal processing; differential geometry; direction-of-arrival estimation; planar antenna arrays; 2D array; 3D array; array ambiguity problem; array design; array manifold; array processing; azimuth angle; differential geometry; differential geometry parameters; elevation angle; manifold studies; manifold surface; multidimensional complex space; nonlinear antenna array geometries; omnidirectional sensors; planar arrays; real 2D parameter plane; sensor array; Antenna arrays; Array signal processing; Azimuth; Geometry; Multidimensional signal processing; Multidimensional systems; Planar arrays; Sensor arrays; Sensor phenomena and characterization; Surface treatment;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.905865
Filename
905865
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