Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/37758
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Weideman, Rina-Mari
Louw, Ridalise
Knaepkens, Ferre
de Villiers, Dirk
Cuyt, Annie
Lee, Wen-shin
Wijnholds, Stefan J.
Contact Email: wen-shin.lee@stir.ac.uk
Title: Simulated performance of antenna position estimation through sub-sampled exponential analysis
Citation: Weideman R, Louw R, Knaepkens F, de Villiers D, Cuyt A, Lee W & Wijnholds SJ (2022) Simulated performance of antenna position estimation through sub-sampled exponential analysis. In: 2022 International Conference on Electromagnetics in Advanced Applications (ICEAA), Cape Town, South Africa, 05.09.2022-09.09.2022. IEEE, pp. 128-132. https://doi.org/10.1109/ICEAA49419.2022.9900012
Issue Date: 28-Sep-2022
Date Deposited: 30-Sep-2022
Conference Name: 2022 International Conference on Electromagnetics in Advanced Applications (ICEAA)
Conference Dates: 2022-09-05 - 2022-09-09
Conference Location: Cape Town, South Africa
Abstract: Antenna position estimation is an important problem in large irregular arrays where the positions might not be known very accurately from the start. In a previous paper we presented a method using harmonically related signals transmitted from an Unmanned Aerial Vehicle (UAV), with the added advantage that the UAV can be in the near-field of the receiving antenna array. It was shown that the method delivers excellent results using ideal synthetic data with added noise. In this paper we continue the work by simulating the problem in a full-wave solver. Although the results are less accurate than when synthetic data are used, due to the effects of mutual coupling, the method still performs satisfactorily, with errors smaller than 4% of the smallest transmitted wavelength.
Status: AM - Accepted Manuscript
Licence URL(s): http://www.rioxx.net/licenses/under-embargo-all-rights-reserved

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