Title :
Direction of Arrival (DoA) estimation for a Switched-Beam DS-CDMA System using Neural Networks
Author :
Gotsis, Konstantinos ; Kaifas, Theodoros ; Siakavara, Katherine ; Sahalos, John
Author_Institution :
Dept. of Phys., Aristotle Univ. of Thessaloniki, Thessaloniki
Abstract :
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.
Keywords :
code division multiple access; direction-of-arrival estimation; interference suppression; matched filters; neural nets; spread spectrum communication; telecommunication computing; telecommunication switching; code-matched filter; direction of arrival estimation; multiple access interference suppression; neural network; switched-beam DS-CDMA system; Adaptive arrays; Direction of arrival estimation; Electronic mail; Filters; Multiaccess communication; Multiple access interference; Neural networks; Physics; Power measurement; Wireless communication;
Conference_Titel :
Applied Electromagnetics and Communications, 2007. ICECom 2007. 19th International Conference on
Conference_Location :
Dubrovnik
Print_ISBN :
978-953-6037-50-6
Electronic_ISBN :
978-953-6037-51-3
DOI :
10.1109/ICECOM.2007.4544416
