Direction of Arrival Estimation in Linear Arrays by a Novel Hybrid Algorithm
DOI:
https://doi.org/10.18100/ijamec.94030Keywords:
Direction of Arrival Estimation, DOA, Smart Antennas, Antenna ArraysAbstract
In this study, a new hybrid algorithm for uniform linear antenna (ULA) array was composed by using First Order Forward Prediction (FOFP) and the Minimum Variance Distortionless Response (MVDR) algorithms together. FOFP and MVDR algorithms were discussed as incident signal direction prediction algorithms. The powerful and weak points of these two algorithms were explained. Some scripts were written by using MATLAB. 5 antennas which were spaced with half wavelength, forms an ULA array. Its output data was used as input data of the three algorithms mentioned above. The results obtained from the hybrid algorithm and the individual results of MVDR and FOFP algorithms were compared under the same conditions. An improvement in the proposed hybrid algorithm is observed.Downloads
References
Viberg, M., Handbook of Antennas in Wireless Communication, Chapter 20. Direction-of-Arrival Estimation in Mobile Communication Environment, CRC Press, Boca Raton-London-New York-Washington D.C., 2001, P. 953-954.
Yaldiz E., Seyfi L., Phased Beam Steering in Linear Point Sources Antenna Array, 4rd International Advanced Technologies Symposium, Turkey, 2005, P. 357-361.
Saqib N.U., Khan I., A Hybrid Antenna Array Design for 3-D Direction of Arrival Estimation, Plos One, 2015, pp. 1-12.
Kundu A., Ghosh S., Sarkar B.K., Chakrabarty A., Smart Antenna Based DS-CDMA System Design for Third Generation Mobile Communication, Progress In Electromagnetics Research M, 2008, Vol.4,pp.67–80.
Carl B., Adaptive Arrays and Diversity Antenna Configurations for Handheld Wireless Communication Terminals, Dissertation Thesis, Electrical and Computer Engineering Department, Virginia University, 2000.
Tuncer T.E., Friedlander B., Classical and Modern Direction of Arrival Estimation, 2009, p. 429, Elsevier, USA.
Reaz K., Haque F., Matin M.A., A Comprehensive Analysis and Performance Evaluation of Different Direction of Arrival Estimation Algorithms, 2012 IEEE Symposium on Computers & Informatics, 2012.
Li F., Liu H., Vaccaro R. J., Performance analysis for DOA estimation algorithms: unification, simplification, and observations, IEEE Transactions on Aerospace and Electronic Systems, Vol. 29(4), 1993, pp. 1170-1184.
Balabadrapatruni S.S., Performance Evaluation Of Direction Of Arrival Estimation Using Matlab, Signal & Image Processing: An International Journal (SIPIJ) Vol.3, No.5, 2012.
Hyberg P., Antenna Array Mapping for DOA Estimation in Radio Signal Reconnaissance, Chapter 3. Data Models and Assumptions, Royal Institue of Technology, Stockholm, Sweden, 2005.
Zhang X., Wang D., Xu D., Novel Blind Joint Direction Of Arrival And Frequency Estimation For Uniform Linear Array, Progress In Electromagnetics Research, PIER 86, 2008, P. 199–215.
Harabi F., Changuel H., Gharsallah A., Direction Of Arrival Estımation Method Using A 2-L Shape Arrays Antenna, Progress In Electromagnetics Research, PIER 69, 2007, P. 145–160.
Gross F.B., Smart Antennas for Wireless Communications with Matlab, McGraw Hill, 2005.
Krim, H. and Viberg M., Two decades of array signal processing research, IEEE Signal Processing Magazine, July 1996.
Bakhar Md., Vani R.M., Hunagund P.V., Comparative Studies Of Direction Of Arrival Algorithms For Smart Antenna Systems, World Journal of Science and Technology, vol.1, 2011, P. 20-25.
Hao Xiong, Antenna Array Geometries and Algorithms for Direction of Arrival Estimation, 2012, P. 32 - 35.
Samhan J.M., Shubair R.M., Al-Qutayri M.A., Design and Implementation of an Adaptive Smart Antenna System, Innovations in Information Technology, 2006, P. 1 - 4.
Haktanir T., Three-step N–R algorithm for the maximum-likelihood estimation of the general extreme values distribution parameters, Advances In Engineering Software, Vol 39, No 5, 2008, P. 384–394.
Rafiqul I., Adam A.H., Performance Study of Direction of Arrival (DOA) Estimation Algorithms for Linear Array Antenna, International Conference on Signal Processing Systems, 2009, P. 268-271.
Vaidyanathan C., Buckley K. M., Performance Analysis of the MVDR Spatial Spectrum Estimator, IEEE Transactions On Signal Processing, Vol. 43, No. 6, 1995, P. 14-21.
Richmond C. D., Capon Algorithm Mean-Squared Error Threshold SNR Prediction and Probability of Resolution, IEEE Transactions On Signal Processing, Vol. 53, No. 8, 2005, P. 2748-2764.
Ovaska S. J., Recursive Linear Smoothed Newton Predictors for Polynomial Extrapolation, IEEE Transactıons on Instrumentation and Measurement, Vol 41, No 4, 1992, P. 510-516.
Downloads
Published
Issue
Section
License
Copyright (c) 2016 International Journal of Applied Methods in Electronics and Computers
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
