期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：237
期号：3
页码：032009
DOI：10.1088/1755-1315/237/3/032009
出版社：IOP Publishing
摘要：Position and orientation system (POS) is widely applied in remote sensing applications, which provide high-accuracy position, velocity, and attitude information for remote sensing motion compensation. As a multisensory system, time-delay usually occurs during signal preprocessing, transmission, integration, filtering, etc., which decrease the measurement accuracy. As the POS motion parameter varies nonlinearly, the time-delay error can't be precisely compensated by the conventional linear method. To solve this problem, a novel time-delay error compensation method based on Support Vector Machine (SVM) is proposed, and Particle Swarm Optimization (PSO) is used to optimize the key parameters of SVM. In verifying the proposed method, a flight experiment was conducted. Experimental results show that the proposed method can effectively compensate the time-delay error of POS, and is more accurate than the conventional one.
