DocumentCode :
17967
Title :
Existence and Uniqueness of Hyperhelical Array Manifold Curves
Author :
Efstathopoulos, Georgios ; Manikas, Athanassios
Author_Institution :
Dept. of Electr. & Electron. Eng, Imperial Coll. of Sci., Technol., & Med., London, UK
Volume :
7
Issue :
4
fYear :
2013
fDate :
Aug. 2013
Firstpage :
625
Lastpage :
633
Abstract :
A number of significant problems, arising frequently in array signal processing, have been successfully tackled using methods based on the concept of the array manifold. These approaches take advantage of the inherent information about the array system which is encapsulated in the geometry of the array manifold. Array ambiguities, array uncertainties, array design and performance characterization are just some of the areas that have benefited from this approach. However, the investigation of the geometry of the array manifold itself for most array geometries has been proven to be a complex problem, especially when higher order geometric properties need to be calculated. Nevertheless, special array geometries have been identified, for which the array manifold curve assumes a specific “hyperhelical” shape. This property of the array manifold greatly simplifies its geometric analysis and, consequently, the analysis of the associated array geometries. Hence, the goal of this paper is twofold; to provide the necessary and sufficient conditions for the existence of array manifold curves of hyperhelical shape; and to determine which array geometries can actually give rise to manifold curves of this shape.
Keywords :
array signal processing; differential geometry; manifolds; array ambiguities; array design; array geometries; array signal processing; array uncertainties; complex problem; geometric analysis; hyperhelical array manifold curves; hyperhelical shape; shape manifold curves; Geometry; Manifolds; Sensor arrays; Shape; Vectors; Array design; array manifolds; array processing; differential geometry; hyperhelices;
fLanguage :
English
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
Publisher :
ieee
ISSN :
1932-4553
Type :
jour
DOI :
10.1109/JSTSP.2013.2257678
Filename :
6497479
Link To Document :
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