摘要
为提高利用舰船轴频电场进行舰船定位与轨迹探测的精度,设计了一款融合轴频电场幅值信息和相位信息的扩展卡尔曼滤波器。在空间直角坐标系下,结合浅海中水平时谐电偶极子电场解析式和遗传算法建立了位置计算模型,确定了场源到场点的距离。针对舰船定位时受到各种因素的影响导致定位效果难以达到理想精度的现状,提出了融合轴频电场幅值信息和相位信息的扩展卡尔曼滤波器。仿真结果表明:该滤波器可使定位误差降低约80%,有效地提高了利用舰船轴频电场进行舰船定位的精度。
In order to improve the accuracy of the positioning and trajectory detection using the shaft frequency electric field of a ship,an extended Kalman filter that combines the amplitude information and phase information of the shaft frequency electric field was designed.In the space rectangular coordinate system,combining the horizontal time-harmonic electric dipole electric field analytical formula in the shallow sea and genetic algorithm to establish a position calculation model,the distance from the field source to the field point can be determined.Since the positioning of the ship will be affected by various factors,it is difficult to achieve the desired accuracy of the positioning effect.An extended Kalman filter that combines the amplitude information and phase information of the shaft frequency electric field was proposed.The simulation results show that the filter can reduce the positioning error by 80%or so,which effectively improves the positioning accuracy of the ship′s shaft frequency electric field.
作者
王向军
朱培杰
WANG Xiang-jun;ZHU Pei-jie(College of Electrical Engineering, Naval Univ. of Engineering, Wuhan 430033, China)
出处
《海军工程大学学报》
CAS
北大核心
2022年第1期1-6,共6页
Journal of Naval University of Engineering
基金
国家自然科学基金资助项目(41476153)。
关键词
舰船轴频电场
数据融合
扩展卡尔曼滤波器
ship shaft frequency electric field
data fusion
extended Kalman filter