Empirical ANN models for 2D direction of arrival estimation

Author

Agatonovic, Marija ; Stankovic, Zoran ; Milovanovic, Bratislav ; Sit, L. ; Zwick, T.

Author_Institution

Fac. of Electron. Eng., Univ. of Nis, Nis, Serbia

fYear

2012

fDate

20-22 Sept. 2012

Firstpage

15

Lastpage

19

Abstract

Empirical Artificial Neural Network (ANN) models are developed for Two-Dimensional Direction of Arrival (2D DOA) estimation of a source signal. For that purpose, experimental data obtained from measurements in an anechoic chamber are utilized. Performance of ANN models are compared to 2D MUSIC algorithm in regard to estimation accuracy and speed of calculations. It is demonstrated that the proposed models outperform MUSIC in cases when small number of snapshots are utilized for DOA estimation and at the same time, are more suitable for real-time implementation.

Keywords

direction-of-arrival estimation; neural nets; signal classification; 2D MUSIC algorithm; 2D direction of arrival estimation; DOA estimation; anechoic chamber; empirical ANN models; empirical artificial neural network models; estimation accuracy; multiple signal classification; real-time implementation; source signal; Antenna measurements; Arrays; Artificial neural networks; Azimuth; Direction of arrival estimation; Estimation; Training; ANNs; MUSIC; VNA measurements; direction of arrival;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on

Conference_Location

Belgrade

Print_ISBN

978-1-4673-1569-2

Type

conf

DOI

10.1109/NEUREL.2012.6419951

Filename

6419951