Abstract
Accurate angle/direction of arrival (AOA/DOA) estimation is an important issue which, helps mobile communications, wireless positioning and signal processing systems to improve their performance significantly. This paper proposes a new method to estimate the direction of arrival of signals. The proposed estimator is dependent on applying the eigenvalue decomposition (EVD) approach on the covariance matrix of the received signals and then selecting the eigenvector which corresponds to the largest eigenvalue. This method is called Maximum Signal Subspace (MSS). In a novel step, the sidelobes of the pseudo-spectrum are supressed. The theoretical and mathematical model of the proposed method is proved and then verified by computer simulation. The computer simulation is applied to linear antenna array to demonstrate and justify the validity of the new method. The estimation performance and execution time of this method are compared with three AOA methods.
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References
Zekavat, R., Buehrer, R.M.: Handbook of Position Location: Theory, Practice and Advances, vol. 27. Wiley, New york (2011)
Chen, Z., Gokeda, G., Yu, Y.: Introduction to Direction-of-Arrival Estimation. Artech House, Boston (2010)
Balanis, C.A., Ioannides, P.I.: Introduction to smart antennas. Synth. Lect. Antennas 2(1), 1–175 (2007)
Ghali, M.A., Abdullah, A.S., Mustafa, F.M.: Adaptive beam forming with position and velocity estimation for mobile station in smart antenna system. In: 2011 7th International Conference on Networked Computing and Advanced Information Management (NCM), Gyeongju, pp. 67–72 (2011)
Al-Sadoon, M., Abd-Alhameed, R.A., Elfergani, I., Noras, J., Rodriguez, J., Jones, S.: Weight optimization for adaptive antenna arrays using LMS and SMI algorithms. WSEAS Trans. Commun. 15, 206–214 (2016)
Krim, H., Viberg, M.: Two decades of array signal processing research: the parametric approach. IEEE Signal Process. Magaz. 13(4), 67–94 (1996)
Bartlett, M.: An Introduction to Stochastic Processes with Special References to Methods and Applications. Cambridge University Press, New York (1961)
Capon, J.: High-resolution frequency-wavenumber spectrum analysis. Proc. IEEE 57(8), 1408–1418 (1969)
Schmidt, R.: Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag. 34(3), 276–280 (1986)
Gross, F.: Smart Antennas with Matlab: Principles and Applications in Wireless Communication. McGraw-Hill Professional, New York (2015)
Acknowledgments
This work was partially supported by Antenna, Propagations and Radio Frequency Research Group, at Bradford University, United Kingdom and Higher Education Ministry of Iraq.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Al-Sadoon, M.A.G. et al. (2017). New and Less Complex Approach to Estimate Angles of Arrival. In: Otung, I., Pillai, P., Eleftherakis, G., Giambene, G. (eds) Wireless and Satellite Systems. WiSATS 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 186. Springer, Cham. https://doi.org/10.1007/978-3-319-53850-1_3
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DOI: https://doi.org/10.1007/978-3-319-53850-1_3
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