Open AccessMotion compensation method of an imaging radar based on unmanned automobile
Author(s) -
Huang Pingping,
Shan Wenqiu,
Xu Wei,
Tan Weixian,
Dong Yifan,
Zhang Zhenhua
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0214
Subject(s) - computer science , computer vision , motion compensation , radar , compensation (psychology) , artificial intelligence , echo (communications protocol) , radar imaging , motion (physics) , object (grammar) , telecommunications , psychology , psychoanalysis , computer network
Unmanned automobile will become the trend of intelligent automobile development in the future, and the application of millimetre‐wave radar imaging technology is a new idea for the development of unmanned driving. Although automobile millimetre‐wave radar can obtain a two‐dimensional high‐resolution image of the front‐viewed scene, the imaging system will, however, cause the scene object to be blurred under the motion condition of the vehicle platform, which will bring difficulties to highly precise imaging. This study proposes the motion error estimation method of total least squares based on radar echo data. This method can accurately estimate the motion error and achieve motion error compensation. Finally, the validity of the method is verified through simulation experiment.