Study of Signal Estimation Parameters via Rotational Invariance Technique by Using Ants Colony Optimization Algorithm

In this paper, an algorithm based on Ants Colony Optimization (ACO) is proposed for extraction of the Directions of Arrival (DOA) of several signals impinging on uniform linear arrays. This algorithm is used to reduce the computation time and complexity that occur in Estimation of Signal Parameters...

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Bibliographic Details
Main Authors: Ali Abdul-Elah Noori, Sadiq Kamel Gharghan, Ali Jaber Abdul Wahhab
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2011-03-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_28056_a19ac6ea03ea3767dd71280621963c07.pdf
Description
Summary:In this paper, an algorithm based on Ants Colony Optimization (ACO) is proposed for extraction of the Directions of Arrival (DOA) of several signals impinging on uniform linear arrays. This algorithm is used to reduce the computation time and complexity that occur in Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT). In order to illustrate the accuracy and flexibility of the proposed algorithm, several simulation cases introduce of ESPRIT-DOA estimation by using ACO algorithm in environment of Matlab 7.8 program. Results are statistically analyzed in order to conclude from it the algorithm's accuracy and reliability
ISSN:1681-6900
2412-0758