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

I. Shah, T.S. Durrani

Research output: Contribution to conferencePaper

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.
Original languageEnglish
Publication statusUnpublished - 26 Aug 2009
Event17th European Signal Processing Conference - Glasgow, Scotland
Duration: 24 Aug 200928 Aug 2009

Conference

Conference17th European Signal Processing Conference
CityGlasgow, Scotland
Period24/08/0928/08/09

Keywords

  • Constraint Adaptive Natural Gradient Algorithm
  • CANA
  • Natural Gradient technique
  • sensors
  • signal
  • interference
  • mathematical analysis

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