Picture of a sphere with binary code

Making Strathclyde research discoverable to the world...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs. It exposes Strathclyde's world leading Open Access research to many of the world's leading resource discovery tools, and from there onto the screens of researchers around the world.

Explore Strathclyde Open Access research content

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. (Unpublished)

Full text not available in this repository. (Request a copy from the Strathclyde author)

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.