DocumentCode :
2836395
Title :
Array processing with neural networks for multiple emitter bearing estimation
Author :
Manabe, T. ; Fujii, S.
Author_Institution :
ATR Opt. & Radio Commun., Kyoto, Japan
fYear :
1990
fDate :
7-11 May 1990
Firstpage :
1458
Abstract :
A novel neural network implementation of the bearing estimation problem, in which the interconnections of the network are predetermined only by the array configuration irrespective of the scenario of incident waves, is proposed. Simulations were carried out on a digital computer to study the performance of the proposed neural network. A uniform linear array with ten isotropic antennas spaced half a wavelength apart was considered.<>
Keywords :
antenna phased arrays; computerised signal processing; neural nets; parameter estimation; antenna array; array configuration; array processing; digital computer; isotropic antennas; multiple emitter bearing estimation; network interconnections; neural networks; signal processing; uniform linear array; Additive noise; Antenna arrays; Array signal processing; Computer networks; Covariance matrix; Direction of arrival estimation; Hopfield neural networks; Minimization; Neural networks; Neurons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 1990. AP-S. Merging Technologies for the 90's. Digest.
Conference_Location :
Dallas, TX, USA
Type :
conf
DOI :
10.1109/APS.1990.115389
Filename :
115389
Link To Document :
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