Title :
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
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;
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
DOI :
10.1109/AFSS.1996.583596
