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2017-04-19

A New GE/PSO Antenna Arrays Synthesis Technique and ITS Application to DOA Estimation

By Amr Hussein Hussein Abdullah
Progress In Electromagnetics Research M, Vol. 56, 43-52, 2017
doi:10.2528/PIERM17010706

Abstract

Direction of arrival estimation has a noteworthy significance in numerous applications, such as radar systems, smart antennas, sonar, mobile communications, and space communications. The algorithms used to estimate the direction of arrival are to some degree complex and time consuming. Also, the number of antenna elements is a discriminating parameter for assessing the performance of the DoA technique. For real time systems, quick and savvy techniques are required. Along these lines, decreasing the estimation time and also reducing the system cost while keeping a generally high precision are crucial issues. In this paper, a new technique for linear antenna arrays synthesis using optimized number of antenna elements and its application to direction of arrival estimation is introduced. The synthesized arrays exhibit approximately the same radiation pattern as the original arrays. The optimized antenna arrays are synthesized using reduced number of antenna elements. In this case, the number of antenna elements reduction will minimize the system cost and decrease the number of picked samples from the different signal sources. As the number of samples decreases, the dimensions of the steering matrix and data correlation matrix are reduced. In this context, the computational burden, estimation time, and system cost are optimized. The proposed technique can be applied to single or multi-snapshot DoA estimation techniques.

Citation


Amr Hussein Hussein Abdullah, "A New GE/PSO Antenna Arrays Synthesis Technique and ITS Application to DOA Estimation," Progress In Electromagnetics Research M, Vol. 56, 43-52, 2017.
doi:10.2528/PIERM17010706
http://www.jpier.org/PIERM/pier.php?paper=17010706

References


    1. Liu, Y., Z. Nie, and Q. H. Liu, "Reducing the number of elements in a linear antenna array by the matrix pencil method," IEEE Trans. Antennas Propag., Vol. 56, No. 9, 2955-2962, Sept. 2008.
    doi:10.1109/TAP.2008.928801

    2. Liu, Y., Q. H. Liu, and Z. Nie, "Reducing the number of elements in the synthesis of shaped-beam patterns by the forward-backward matrix pencil method," IEEE Trans. Antennas Propag., Vol. 58, No. 2, 604-608, Nov. 2010.

    3. Hussein, H., H. H. Abdullah, A. M. Salem, S. Khamis, and M. Nasr, "Optimum design of linear antenna arrays using a hybrid MoM/GA algorithm," IEEE Antennas and Wireless Propagation Letters, Vol. 10, 1232-1235, Oct. 2011.

    4. Liu, J., Z. Zhao, K. Yang, and Q. H. Liu, "A hybrid optimization for pattern synthesis of large antenna arrays," Progress In Electromagnetics Research, Vol. 145, 81-91, 2014.
    doi:10.2528/PIER13121606

    5. Caratelli, D., M. C. Vigano, G. Toso, P. Angeletti, A. A. Shibelgut, and R. Cicchetti, "A hybrid deterministic/metaheuristic synthesis technique for non-uniformly spaced linear printed antenna arrays," Progress In Electromagnetics Research, Vol. 142, 107-121, 2013.
    doi:10.2528/PIER13071106

    6. Li, X., W.-T. Li, X.-W. Shi, J. Yang, and J.-F. Yu, "Modified differential evolution algorithm for pattern synthesis of antenna arrays," Progress In Electromagnetics Research, Vol. 137, 371-388, 2013.
    doi:10.2528/PIER13011207

    7. El Dosouky, B., A. H. Hussein, and S. Khamis, "A new high-resolution and stable MV-SVD algorithm for coherent signals detection," Progress In Electromagnetics Research M, Vol. 35, 163-171, 2014.
    doi:10.2528/PIERM14021603

    8. El-Barbary, K. A., T. S. Mohamed, and M. S. Melad, "High resolution direction of arrival estimation (coherent signal source DOA estimation)," International Journal of Engineering Research and Applications (IJERA), Vol. 3, No. 1, 132-139, 2013.

    9. Gentle, J. E., Gaussian elimination, 87-91, Numerical Linear Algebra for Applications in Statistics, Springer-Verlag, Berlin, 1998.

    10. Rini, D. P., S.M. Shamsuddin, and S. S. Yuhaniz, "Particle swarm optimization: Technique, system and challenges," International Journal of Computer Applications, Vol. 14, No. 1, 19-26, 2011.
    doi:10.5120/1810-2331