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.

Conference

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

Fingerprint

Array processing
Constrained optimization
MATLAB
Sensors

Keywords

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

Cite this

Shah, I., & Durrani, T. S. (2009). Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .
Shah, I. ; Durrani, T.S. / Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .
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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.",
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author = "I. Shah and T.S. Durrani",
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note = "17th European Signal Processing Conference ; Conference date: 24-08-2009 Through 28-08-2009",

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Shah, I & Durrani, TS 2009, 'Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing' Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, 24/08/09 - 28/08/09, .

Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing. / Shah, I.; Durrani, T.S.

2009. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .

Research output: Contribution to conferencePaper

TY - CONF

T1 - Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing

AU - Shah, I.

AU - Durrani, T.S.

PY - 2009/8/26

Y1 - 2009/8/26

N2 - 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.

AB - 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.

KW - Constraint Adaptive Natural Gradient Algorithm

KW - CANA

KW - Natural Gradient technique

KW - sensors

KW - signal

KW - interference

KW - mathematical analysis

UR - http://www.eurasip.org/Proceedings/Eusipco/Eusipco2009/contents/files/EUSIPCO2009Programme.pdf

UR - http://www.eurasip.org/proceedings/eusipco/eusipco2009/contents/papers/1569192974.pdf

M3 - Paper

ER -

Shah I, Durrani TS. Constraint adaptive natural gradient algorithm (Cana) for adaptive array processing. 2009. Paper presented at 17th European Signal Processing Conference, Glasgow, Scotland, .