Estimation of propagation structure by means of Hopfield neural network

Author

Maruyama, Tetsuhiro ; Kuwahara, Y.

Author_Institution

Fac. of Eng., Shizuoka Univ., Japan

Volume

1

fYear

2001

Firstpage

476

Abstract

In order to develop the spatial-temporal equalization technique for 3G/4G mobile communication systems it is necessary to understand the indoor or outdoor propagation structure. It has been proposed to apply an artificial neural network (ANN) to DOA estimation (see El Zooghby, A.H. et al., IEEE Transactions on Antennas and Propagation, vol.45, no.11, p.1611-17, 1997; Goto, K. et al., T. IEE Japan, vol.118-C, no.3, p.442-7, 1998). The purposes are to direct narrow beams to the terminals after detecting their directions. We propose an algorithm using an ANN (Hopfield neural network) to estimate coupled DOA and TOA of multiple incident waves.

Keywords

Hopfield neural nets; cellular radio; direction-of-arrival estimation; equalisers; indoor radio; radiowave propagation; 3G mobile communication systems; 4G mobile communication systems; DOA estimation; Hopfield neural network; TOA estimation; artificial neural network; indoor propagation structure; outdoor propagation structure; spatial-temporal equalization; Artificial neural networks; Azimuth; Differential equations; Direction of arrival estimation; Frequency domain analysis; Hopfield neural networks; Neural networks; Neurons; Parameter estimation; Positron emission tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium, 2001. IEEE

Conference_Location

Boston, MA, USA

Print_ISBN

0-7803-7070-8

Type

conf

DOI

10.1109/APS.2001.958895

Filename

958895