By Topic

Far field array processing with neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Colnet, B. ; CRIN-INRIA Lorraine, Vandoeuvre-les-Nancy, France ; Haton, J.-P.

Source localisation is among the most important steps in array processing. The authors present a neuromimetic approach in signal processing. A set of neural networks is used to find the azimuth of one or several sources impinging on a linear array of equally spaced sensors. Each network in this set is specialised to determine if there is an emitter in a given angular sector. Thus a neural network has a specific architecture suited to detect and enhance the signal coming from the angular sector it is associated with. The performances of this method on real underwater signals confirm the encouraging results obtained on simulation tests

Published in:

Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on  (Volume:ii )

Date of Conference:

19-22 Apr 1994