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Wireless Communications and Mobile Computing
Volume 2018 (2018), Article ID 6492143, 8 pages
Research Article

Effect of Randomness in Element Position on Performance of Communication Array Antennas in Internet of Things

1Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, Xi’an 710071, China
2School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW 2052, Australia
3School of Electronic Engineering, Xidian University, Xi’an 710071, China
4State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
5CETC No. 38 Research Institute, Hefei 230088, China
6Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
7Research Institute of Shaanxi Huanghe Group Co., Ltd., Xi’an 710043, China

Correspondence should be addressed to Yan Wang; moc.361@9615naygnaw

Received 30 October 2017; Revised 7 January 2018; Accepted 29 January 2018; Published 21 March 2018

Academic Editor: Hassan T. Chattha

Copyright © 2018 Congsi Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As a critical component for wireless communication, active phased array antennas face the restrictions of creating effective performance with the effect of randomness in the position of the array element, which are inevitably produced in the manufacturing and operating process of antenna. A new method for efficiently and effectively evaluating the statistic performance of antenna is presented, with consideration of randomness in element position. A coupled structural-electromagnetic statistic model for array antenna is proposed from the viewpoint of electromechanical coupling. Lastly, a planar array is illustrated to evaluate the performance of antenna with the saddle-shaped distortion and random position error. The results show that the presented model can obtain the antenna performance quickly and effectively, providing an advantageous guidance for structural design and performance optimization for array antennas in wireless application.