Direction of Arrival (DoA) estimation for a switched-beam DS-CDMA system using neural networks

Konstantinos Gotsis, Theodoros Kaifas, Katherine Siakavara, John Sahalos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationConference Proceedings - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications
DOIs
Publication statusPublished - 2007
EventICECom 2007, 19th International Conference on Applied Electromagnetics and Communications - Dubrovnik, Croatia
Duration: 24 Sep 200726 Sep 2007

Other

OtherICECom 2007, 19th International Conference on Applied Electromagnetics and Communications
CountryCroatia
CityDubrovnik
Period24/09/0726/09/07

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    Gotsis, K., Kaifas, T., Siakavara, K., & Sahalos, J. (2007). Direction of Arrival (DoA) estimation for a switched-beam DS-CDMA system using neural networks. In Conference Proceedings - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications [4544416] https://doi.org/10.1109/ICECOM.2007.4544416