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Direction of Arrival (DoA) estimation for a Switched-Beam DS-CDMA System using Neural Networks

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4 Author(s)
Gotsis, K. ; Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki ; Kaifas, T. ; Siakavara, K. ; Sahalos, J.

A new direction of arrival (DoA) estimation method using neural networks (NNs) is presented. The method is especially designed for a switched-beam system (SBS) that operates in an asynchronous direct sequence code division multiple access (DS-CDMA) scheme. The technique exploits the Multiple Access Interference (MAI) suppression done by the code-matched filters in DS-CDMA, and is simple and appropriate for real time applications. Simulations of DoA estimations tests show accurate results for a varying number of interferers.

Published in:
Applied Electromagnetics and Communications, 2007. ICECom 2007. 19th International Conference on

Date of Conference: 24-26 Sept. 2007

Page(s):
1 - 4
E-ISBN :
978-953-6037-51-3
Print ISBN:
978-953-6037-50-6
INSPEC Accession Number:
10015130
Conference Location :
Dubrovnik
Digital Object Identifier :
10.1109/ICECOM.2007.4544416
Product Type:
Conference Publications

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