• DocumentCode
    17980
  • Title

    Array Manifold Curves in {Fraktur {C}}^{N} and Their Complex Cartan Matrix

  • Author

    Manikas, Athanassios ; Commin, Harry ; Sleiman, Adham

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • Volume
    7
  • Issue
    4
  • fYear
    2013
  • fDate
    Aug. 2013
  • Firstpage
    670
  • Lastpage
    680
  • Abstract
    The differential geometry of array manifold curves has been investigated extensively in the literature, leading to numerous applications. However, the existing differential geometric framework restricts the Cartan matrix to be purely real and so the vectors of the moving frame BBU(s) are found to be orthogonal only in the wide sense (i.e. only the real part of their inner product is equal to zero). Imaginary components are then accounted for separately using the concept of the inclination angle of the manifold. The purpose of this paper is therefore to present an alternative theoretical framework which allows the manifold curve in FrakturCN to be characterized in a more convenient and direct manner. A continuously differentiable strictly orthonormal basis is established and forms a platform for deriving a generalized complex Cartan matrix with similar properties to those established under the previous framework. Concepts such as the radius of circular approximation, the manifold curve radii vector and the frame matrix are also revisited and rederived under this new framework.
  • Keywords
    approximation theory; array signal processing; differential geometry; matrix algebra; vectors; array manifold curves; array processing; circular approximation radius; differential geometric framework; frame matrix; generalized complex Cartan matrix; manifold curve radii vector; moving frame vectors; orthonormal basis; Geometry; Manifolds; Sensor arrays; Transmission line matrix methods; Vectors; Array manifold; array processing; differential geometry;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Signal Processing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1932-4553
  • Type

    jour

  • DOI
    10.1109/JSTSP.2013.2257679
  • Filename
    6497480