Near-field direction finding with a fuzzy neural network

Author

Ma, Ching-Wen ; Teng, Ching-Cheng

Author_Institution

Dept. of Control Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

1996

fDate

11-14 Dec 1996

Firstpage

230

Lastpage

235

Abstract

The single-source near-field direction finding problem can be solved by a fuzzy neural network (FNN). The FNN approach can be applied to arrays with arbitrary configurations. It can also be implemented for real-time tracking applications. The approach outperforms the far-field approximation (FFA) approach when the array is uniformly-spaced and linear, especially when the angle between the array normal direction and the source direction is large and the distance from array center to the source is short

Keywords

array signal processing; fuzzy neural nets; multilayer perceptrons; real-time systems; tracking; arbitrary configurations; array normal direction; array signal processing; arrays; far-field approximation; fuzzy neural network; multilayer neural network; problem solving; real-time tracking applications; single-source near-field direction finding; source direction; uniformly-spaced linear array; Array signal processing; Artificial neural networks; Control systems; Covariance matrix; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Real time systems; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian

Conference_Location

Kenting

Print_ISBN

0-7803-3687-9

Type

conf

DOI

10.1109/AFSS.1996.583596

Filename

583596