摘要
Aeromagnetic interference could not be compensated effectively if the precision of parameters which are solved by the aircraft magnetic field model is low. In order to improve the compensation effect under this condition, a method based on small signal model and least mean square（LMS） algorithm is proposed. According to the method, the initial values of adaptive filter＇s weight vector are calculated with the solved model parameters through small signal model at first,then the small amount of direction cosine and its derivative are set as the input of the filter, and the small amount of the interference is set as the filter＇s expected vector. After that, the aircraft magnetic interference is compensated by LMS algorithm. Finally, the method is verified by simulation and experiment. The result shows that the compensation effect can be improved obviously by the LMS algorithm when original solved parameters have low precision. The method can further improve the compensation effect even if the solved parameters have high precision.
Aeromagnetic interference could not be compensated effectively if the precision of parameters which are solved by the aircraft magnetic field model is low. In order to improve the compensation effect under this condition, a method based on small signal model and least mean square（LMS） algorithm is proposed. According to the method, the initial values of adaptive filter＇s weight vector are calculated with the solved model parameters through small signal model at first,then the small amount of direction cosine and its derivative are set as the input of the filter, and the small amount of the interference is set as the filter＇s expected vector. After that, the aircraft magnetic interference is compensated by LMS algorithm. Finally, the method is verified by simulation and experiment. The result shows that the compensation effect can be improved obviously by the LMS algorithm when original solved parameters have low precision. The method can further improve the compensation effect even if the solved parameters have high precision.
基金
co-supported by the National Basic Research Program of China (No. 623125020103)
作者简介
Corresponding author. Tel： ＋ 86 27 65464535. E-mail address： zhou_jian_jun168@163.com （J. Zhou）.Zhou Jianjun received the Ph.D. degree in Weapon Science and Engineering from Naval University of Engineering in 2014. His main research interests are magnetic field modeling and calculation, magnetic signal detecting, as well as processing and aeromagnetic survey.Lin Chunsheng is a professor and Ph.D. supervisor at Naval University of Engineering. His current research interests are aeromagnetic survey and aeromagnetic compensation.Chen Hao is an instructor at Naval University of Engineering. His current research interests are magnetic signal modeling and processing.
