Evaluating expectation-maximization algorithm for 2D DOA estimation via planar antenna arrays-Reference-Cited by-同舟云学术

Evaluating expectation-maximization algorithm for 2D DOA estimation via planar antenna arrays

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on High Performance Compilation, Computing and Communications - HP3C-2017
language:
Short-container-title:

Author:

Nechaev Y. B.¹,Sarmad K. D. Alkhafaji¹,Peshkov I. W.²

Affiliation:

1. Voronezh State University, Voronezh, Russia

2. Yelets State University, Yelets, Russia

Publisher

ACM Press

Reference22 articles.

1. Tuncer T., Friedlander B. Classical and Modern Direction-of-Arrival Estimation. - Academic Press. 2009. 456 p. - ISBN: 978-0-12-374524-8

2. Godara L.C. Applications of antenna arrays to mobile communications. Proceedings of the IEEE, 1997, Vol. 85, No. 8, pp. 1195--1245. DOI: 10.1109/5.622504

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, Volume 54, Issue 11, pp. 604--612. DOI: 10.3103/S0735272711110045

4. Y. Nechaev, I. Peshkov, Y.O. Aalmuttar Atheer, K.D. Al Khafaji Sarmad, Accuracy evaluation of super-resolution doa estimation methods for ring and concentric antenna arrays. Radio communication theory and equipment, Volume 1,Issue 2, May 2016, pp. 79--86 (in Russian).

5. Mahmoud K. [etc.] A comparison between circular and hexagonal array geometries for smart antenna systems using particle swarm optimization. Progress in Electromagnetics Research, 2007, vol.72, p. 75--90. doi:10.2528/PIER07030904

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Probability of False Peaks Circular and Concentric Array Antennas Direction;2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA);2022-06-09

2. ECG classification system based on multi-domain features approach coupled with least square support vector machine (LS-SVM);Computer Methods in Biomechanics and Biomedical Engineering;2022-05-13