ZTE Communications ›› 2018, Vol. 16 ›› Issue (4): 38-45.doi: 10.19729/j.cnki.1673-5188.2018.04.006

• Research Paper • Previous Articles     Next Articles

Antenna Mechanical Pose Measurement Based on Structure from Motion

XU Kun1, FAN Guotian1, ZHOU Yi1, ZHAN Haisheng2, GUO Zongyi2   

  1. 1. ZTE Corporation, Shenzhen 518057, China
    2. Xidian University, Xi’an 710000, China
  • Received:2017-12-31 Online:2018-12-31 Published:2020-04-28
  • About author:XU Kun (xu.kun7@zte.com.cn) received his master’s degree from Xidian University, China. He is now the director of Big Data Department 4, ZTE Wireless Research Institute. From 2009 to 2012, he was the project manager of the UniPOS NetMAX product group at ZTE Corporation. He served as the product director and then the head of the Wireless Network Optimization Tool Department, ZTE Corporation from 2012 to 2014. He has rich experience in wireless network optimization.|ZHOU Yi (zhou.yi5@zte.com.cn) received his master’s degree in computer system architecture from Xidian University, China in 2008. Now he is a system engineer and project manager at the Wireless Big Data Center of ZTE Corporation. His research interests include big data and machine learning.|ZHAN Haisheng (zhan_haisheng@vip.163.com) received his doctor’s degree in computer application technology from Xidian University, China in 2007. He is now an associate professor of the School of Network and Continuing Education, Xidian University. His main research interests include image processing and Chinese semantic processing.|GUO Zongyi (guozongyi75@126.com) received his bacherlor’s degree in computer science and technology from the Department of Computer Science, Xidian Universidy, China in 2014. He is currently pursuing the master’s degree at Computer Technology in Multimedia Technology Institute, Department of Computer Science, Xidian University. His research interests include image processing, machine vision, photogrammetry, and machine learning.
  • Supported by:
    This work is supported by ZTE Industry-Academia-Research Cooperation Funds.

Abstract:

Antenna mechanical pose measurement has always been a crucial issue for radio frequency (RF) engineers, owning to the need for mechanical pose adjustment to satisfy the changing surroundings. Traditionally, the pose is estimated in the contact way with the help of many kinds of measuring equipment, but the measurement accuracy cannot be well assured in this way. We propose a non-contact measuring system based on Structure from Motion (SfM) in the field of photogrammetry. The accurate pose would be estimated by only taking several images of the antenna and after some easy interaction on the smartphone. Extensive experiments show that the error ranges of antenna’s downtilt and heading are within 2 degrees and 5 degrees respectively, with the shooting distance in 25 m. The GPS error is also under 5 meters with this shooting distance. We develop the measuring applications both in PC and android smartphones and the results can be computed within 3 minutes on both platforms. The proposed system is quite safe, convenient and efficient for engineers to use in their daily work. To the best of our knowledge, this is the first pipeline that solves the antenna pose measuring problem by the photogrammetry method on the mobile platform.

Key words: antenna mechanical pose measurement, SfM, photogrammetry, smartphone