Direction of arrival estimation using MUSIC (MUltiple SIgnal Classification) algorithm for HF links
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
In this thesis the determination of the positions of the transmitters broadcasting in the short wave (High Frequency, HF) band is aimed as the main target. The azimuth angles belonging to signal transmitters have been calculated by using MUSIC (MUltiple SIgnal Classification) algorithm for a sample application.MUSIC algorithm is based on the principle of eigenvector and is found to be useful for HF band. But, unfortunately for coherent or highly correlated signals MUSIC algorithm doesn?t work. To solve this problem spatial smoothing is proposed in the literature. The proposed method is used for HF signals and it is shown that it is possible to obtain the angle of arrivals for coherent or highly correlated HF signals. In the simulations MATLAB programming environment is used. The performance of the system is found to be very well.
Author
Feridun Kutay
Institution
How to Cite
Feridun Kutay (Master Thesis). Direction of arrival estimation using MUSIC (MUltiple SIgnal Classification) algorithm for HF links, 2011, Gazi University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Gazi University
- Experimental development of the interfacial bond-slip model between textile reinforced mortar strips and masonry walls(2025)
- Occupational accident analysis and modelling in oil and gas drilling sector Turkey(2021)
- The ideological construction of regime debate in Turkey by the press in the context of 2007 presidential elections(2012)
- XVI. yüzyıl Anadolu'sunda Oğuzların Karkın Boyu(2004)
- Sharing of real life geometry samples via a social learning environment: A case study(2021)
- Evaluatıon of calcium hydroxide removal efficiency of two different irrigation activation techniques from artificial internal resorption cavities prepared at different root levels(2021)
