Open AccessEMLR for multiple radars on a mobile platform
Author(s) -
Wang Jun,
Ma Shuheng,
Zhang Yuxi,
Wei Shaoming,
Wu Zhichang
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0190
Subject(s) - offset (computer science) , computer science , radar , sensor fusion , remote sensing , radar engineering details , algorithm , real time computing , computer vision , radar imaging , geography , telecommunications , programming language
Aiming at the problem of radar sensor registration on a mobile platform, this study uses multiple radars to estimate the biases of the radar under the earth‐centred earth‐fixed coordinate system, which provides more accurate information for data fusion. Compared to the maximum likelihood registration (MLR) algorithm, which can only estimate radar offset biases, a novel extended MLR (EMLR) algorithm is proposed. The algorithm could estimate radar‐offset biases, attitude biases, and the target real location simultaneously. The simulation results verified that the EMLR algorithm can effectively improve the precision of registration.