DocumentCode :
2360833
Title :
Improving the resolution of a sensor array pattern by neural networks
Author :
Bracco, Christian ; Marcos, Sylvie ; Benidir, Messaoud
Author_Institution :
Lab. des Signaux et Syst., Ecole Superieure d´´Electr., Gif-sur-Yvette, France
fYear :
1994
fDate :
6-8 Sep 1994
Firstpage :
575
Lastpage :
584
Abstract :
The sensor array pattern is the spatial response of an array of sensors to an incident monochromatic plane wave. It is known to have a resolution which is a function of the number of sensors. In some applications the number of sensors may be small for technical or economical reasons. The authors present and analyse a feedforward neural network structure which is able, by learning, to improve the resolution of the array pattern for a fixed and small number of sensors
Keywords :
array signal processing; feedforward neural nets; learning (artificial intelligence); sensors; feedforward neural network structure; incident monochromatic plane wave; resolution; sensor array pattern; spatial response; Array signal processing; Direction of arrival estimation; Feedforward neural networks; Information analysis; Neural networks; Pattern analysis; Sensor arrays; Signal analysis; Signal resolution; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing [1994] IV. Proceedings of the 1994 IEEE Workshop
Conference_Location :
Ermioni
Print_ISBN :
0-7803-2026-3
Type :
conf
DOI :
10.1109/NNSP.1994.366008
Filename :
366008
Link To Document :
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