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Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing

Shah, I. and Durrani, T.S. (2009) Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing. In: 17th European Signal Processing Conference, 2009-08-24 - 2009-08-28, Glasgow, Scotland. (Unpublished)

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Abstract

A novel Constraint Adaptive Natural Gradient Algorithm (CANA) is proposed based on the Natural Gradient technique, which is capable of rapidly adjusting the response of an array of sensors to a signal coming from Direction of Interest (DoI) and suppressing noises coming from other directions. Constrained optimization techniques have been extended to enhance the look direction signal in the presence of interference using adaptive natural gradient techniques. Mathematical analysis and realistic MATLAB simulations are developed to confirm the fast convergence of the adaptive weights, and the suitability of algorithm for operations in adverse environments.

Item type: Conference or Workshop Item (Paper)
ID code: 14887
Keywords: Constraint Adaptive Natural Gradient Algorithm, CANA, Natural Gradient technique, sensors, signal, interference, mathematical analysis, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
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Depositing user: Strathprints Administrator
Date Deposited: 20 Oct 2010 10:21
Last modified: 04 Oct 2012 17:31
URI: http://strathprints.strath.ac.uk/id/eprint/14887

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