Yu.B. Nechaev - Honored Scientist of RF, Dr. Sc. (Phys.-Math.), Professor, Department of Information Systems, Voronezh State University E-mail: nechaev_ub@mail.ru A.I. Klimov - Dr. Sc. (Eng.), Associate Professor, Professor, Department of Infocommunication Systems and Technologies, Voronezh Institute of Ministry of Interior of RF E-mail: alexserkos@inbox.ru I.V. Peshkov - Ph. D. (Phys.-Math.), Associate Professor, Department of Radio Electronics and Computer Techniques, Bunin Yelets State University E-mail: ilvpeshkov@gmail.com

The article describes a direction-finding systems with superresolution stochastic method likelihood composed of planar array antennas. The main advantage of this type of antenna configurations before, when several elements are arranged in a straight line, etc., is the ability to determine the coordinates of the signals in azimuth and elevation. However, to date the work devoted to a comparative study of ha-tics with superresolution direction finding for various configurations of planar antenna arrays, often relate to only one or two types, usually circular or rectangular. The article presents the conclusion of the direction vector and the factor L shaped array. Implemented adaptation of the method of Newton stochastic method likelihood for the two-dimensional direction finding in azimuth and elevation. Based on the expressions numerical simulation method likelihood a part of the ring, and L shaped antenna arrays, which consist of 24 antenna elements, the distance between adjacent elements is 0.5λ in different noise environments. The highest accuracy is obtained when using the L shaped array.

 

1. Tuncer T., Friedlander B. Classical and Modern Direction-of-Arrival Estimation. Academic Press. 2009. 456 p.
2. Godara L.C. Applications of antenna arrays to mobile communications / Proceedings of the IEEE. 1997. V. 85. № 8. P. 1195−1245.
3. Nechaev Yu., Borisov D., Peshkov I. Beamforming algorithm for circular antenna array immune to multipath propagation and non-stationary interference sources // Radioelectronics and Communications Systems. November 2011. V. 54. № 11. P. 604−612.
4. Nechaev JU.B., Peshkov I.V. Ocenka tochnosti metodov pelengacii so sverkhrazresheniem dlja kolcevykh i koncentricheskikh antennykh reshetok // Teorija i tekhnika radiosvjazi. 2016. № 2. S. 79−85.
5. Mahmoud K. [i dr.] A comparison between circular and hexagonal array geometries for smart antenna systems using particle swarm optimization // Progress in Electromagnetics Research. 2007. V. 72. P. 75−90.
6. Gozasht F., Dadashzadeh G.R., Nikmehr S. A comprehensive performance study of circular and hexagonal array geometries in the lms algorithm for smart antenna applications // Progress in Electromagnetics Research. 2007. V. 68. P. 281−296.
7. Dessouky M., Sharshar H., Albagory Y. Efficient sidelobe reduction technique for small-sized concentric circular arrays // Progress in Electromagnetics Research. 2006. V. 65. P. 187−200.
8. Serdar O.A. High-Resolution Direction-of-Arrival Estimation via Concentric Circular Arrays // ISRN Signal Processing. V. 2013. Article ID 859590. 8. P. 2013.
9. Ioannides P., Balanis C. Uniform circular and rectangular arrays for adaptive beamforming applications // IEEE Antennas and Wireless Propagation Letters. 2005. V. 4. P. 351−354.
10. Kretly L.C., Cerqueira Jr. A.S., Tavora A.A. S. A hexagonal adaptive antenna array concept for wireless communication applications // 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. 2002. V. 1. P. 247−249.
11. Espandar M., Bakhshi H.R. DOA estimation for rectangular antenna array in multipath fading and MIMO channels // 2009 International Conference on Future Computer and Communication. Kuala Lumpar. 2009. P. 122−126.
12. Meenakshi A.V., Punitham V., Gowri T. DOA Estimation for Rectangular Linear Array Antenna in Frequency Non Selective Slow Fading MIMO Channels // Communications in Computer and Information Science. V. 203. 2011. P. 12−24.
13. Agatonovi M. et ce. Efficient neural network approach for 2D DOA estimation based on antenna array measurements // Progress In Electromagnetics Research. 2013. V. 137. P. 741−758.
14. Trees Van H.L. Detection, Estimation, and Modulation Theory. Optimum Array Processing. John Wiley & Sons. 2002. 1470 p.
15. Nechaev JU.B., Peshkov I.V. Postroenie kolcevykh, vosmigrannykh, shestigrannykh i chetyrekhgrannykh antennykh reshetok dlja radiopelengacii metodom MUSIC // Radiotekhnika. 2016. № 6. S. 137−142.
16. Hua Y., Sarkar T.K., Weiner D.D. An L-shaped array for estimating 2-D directions of wave arrival // IEEE Trans. Antennas Propag.,V. 44. P. 889−895. Jun. 1996.
17. Stoica, Nehorai P., Hua A., Sarkar T.K., Weiner D.D. An L-shaped array for estimating 2-D directions of wave arrival // IEEE Transactions on Acoustics, Speech, and Signal Processing. October 1990. V. 38. № 10. P. 1783−1795.
18. Cadzow J.A. A High Resolution Direction-of-Arrival Algorithm for Narrow-Band Coherent and Incoherent Sources // IEEE Transactions on Acoustics, Speech and Signal Processing. October 1988. V. 36. № 7. P. 965−979.
19. Ottersen B., Viberg M. Analysis of subspace fitting based methods for sensors array processing // International Conference on Acoustics, Speech and Signal Processing. 23−26 May 1989.
20. Chan A.Y.J., Litva J. MUSIC and maximum likelihood techniques on two-dimensional DOA estimation with uniform circular array // IEE Proceedings. Radar, Sonar and Navigation. June 1995. V. 142. № 3. P. 105−114.