Izvorni znanstveni članak
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
Sažetak
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.
Ključne riječi
direction of arrival; DS-CDMA; neural networks; switched-beam system
Hrčak ID:
25745
URI
Datum izdavanja:
15.5.2008.
Posjeta: 2.261 *