DocumentCode
2808779
Title
Array processing with neural networks for estimation of near-field source position
Author
Fujii, S. ; Manabe, T.
Author_Institution
ATR Opt. & Radio Commun. Res. Lab., Kyoto, Japan
fYear
1991
fDate
24-28 June 1991
Firstpage
384
Abstract
The authors propose an implementation method of a neural network for an estimation problem of near-field source positions. This method can estimate not only the positions but also the power of the sources. Its resolving power is higher than that of the backward propagation method. In comparison with the maximum entropy method, the present method can estimate source positions in noisier environments. Simulation results are presented.<>
Keywords
neural nets; signal processing; array processing; near-field source position estimation; neural network; resolving power; sensor array; simulation results; Additive noise; Array signal processing; Artificial neural networks; Covariance matrix; Minimization; Neural networks; Neurons; Optical sensors; Radio communication; Sensor arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 1991. AP-S. Digest
Conference_Location
London, Ontario, Canada
Print_ISBN
0-7803-0144-7
Type
conf
DOI
10.1109/APS.1991.174856
Filename
174856
Link To Document