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Automatika : journal for control, measurement, electronics, computing and communications, Vol. 49 No. 1-2, 2008.

Original scientific paper

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

Konstantinos Gotsis
Theodoros N. Kaifas
Katherine Siakavara
John N. Sahalos

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Abstract

A Neural Network (NN) methodology is presented for the Direction of Arrival (DoA) estimation of the desired mobile user, namely the Signal of Interest (SoI), in the asynchronous Direct Sequence Code Division Multiple Access (DS-CDMA) scheme. In DS-CDMA the SoI DoA should be estimated in the presence of a group of interfering users that constitute the Multiple Access Interference (MAI). In this paper a NN algorithm follows the MAI suppression done by the code-matched filters, to achieve the DoA finding goal for a Switched-Beam System (SBS). The proposed method is developed, while DoA estimation simulation tests show accurate results for a varying number of mobile users.

Keywords

direction of arrival; DS-CDMA; neural networks; switched-beam system

Hrčak ID:

25745

URI

https://hrcak.srce.hr/25745

Publication date:

15.5.2008.

Article data in other languages: croatian

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