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

fYear

2007

fDate

24-26 Sept. 2007

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICECOM.2007.4544416

Filename

4544416