Design Of Smart Antenna Array With Interference Supression Capability

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Kumar, Er. Aashish ; Dewan, Er. Rishav (2014)
  • Publisher: Journal of Engineering Computers & Applied Sciences
  • Journal: Journal of Engineering Computers & Applied Sciences (issn: 2319-5606, eissn: 2319-5606)
  • Subject: Computer Sciences | Matrix decomposition, Quadratic rotation decomposition, Recursive least squares, Smart antenna.
    acm: MathematicsofComputing_NUMERICALANALYSIS

Matrix decomposition refers to the transformation of a matrix into a canonical form. Matrix decomposition has very important applications in scientific computing because of its scientific and engineering significance. The purposes of matrix decomposition are analytic simplicity and computational convenience.The choice of right decomposition technique depends on the problem we want to solve and the matrix to be decomposed. In this paper, a Quadratic rotation decomposition (QRD) technique which decomposes a matrix into an orthogonal and a triangular matrix using Gram-Schmidt orthonormalization method has been used with recursive least squares (RLS) algorithm for implementing a smart antenna. Simulation results have been presented
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