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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
Languages: English
Types: Article
Subjects: Computer Sciences, Matrix decomposition, Quadratic rotation decomposition, Recursive least squares, Smart antenna.

Classified by OpenAIRE into

ACM Ref: 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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