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

Konstantinos Gotsis; Theodoros Kaifas; Katherine Siakavara; John Sahalos

doi:10.1109/ICECOM.2007.4544416

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

Konstantinos Gotsis
, Theodoros Kaifas
, Katherine Siakavara
, John Sahalos

Department of Engineering

Aristotle University of Thessaloniki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Conference Proceedings - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications
DOIs	https://doi.org/10.1109/ICECOM.2007.4544416
Publication status	Published - 2007
Event	ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications - Dubrovnik, Croatia Duration: 24 Sept 2007 → 26 Sept 2007

Other

Other	ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications
Country/Territory	Croatia
City	Dubrovnik
Period	24/09/07 → 26/09/07

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10.1109/ICECOM.2007.4544416

Cite this

@inproceedings{4cfc35205a084cd58085cfe1ad5bedf8,

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

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.",

author = "Konstantinos Gotsis and Theodoros Kaifas and Katherine Siakavara and John Sahalos",

year = "2007",

doi = "10.1109/ICECOM.2007.4544416",

language = "English",

isbn = "9536037505",

booktitle = "Conference Proceedings - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications",

note = "ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications ; Conference date: 24-09-2007 Through 26-09-2007",

}

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, ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications, Dubrovnik, Croatia, 24/09/07. https://doi.org/10.1109/ICECOM.2007.4544416

Direction of Arrival (DoA) estimation for a switched-beam DS-CDMA system using neural networks. / Gotsis, Konstantinos; Kaifas, Theodoros; Siakavara, Katherine et al.
Conference Proceedings - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications. 2007. 4544416.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Direction of Arrival (DoA) estimation for a switched-beam DS-CDMA system using neural networks

AU - Gotsis, Konstantinos

AU - Kaifas, Theodoros

AU - Siakavara, Katherine

AU - Sahalos, John

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/51049116398

U2 - 10.1109/ICECOM.2007.4544416

DO - 10.1109/ICECOM.2007.4544416

M3 - Conference contribution

AN - SCOPUS:51049116398

SN - 9536037505

SN - 9789536037506

BT - Conference Proceedings - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications

T2 - ICECom 2007, 19th International Conference on Applied Electromagnetics and Communications

Y2 - 24 September 2007 through 26 September 2007

ER -

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

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