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基于递推最小二乘法的地磁测量误差校正方法 被引量:37

Recursive least square based online error calibration method in geomagnetic detection
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摘要 针对弹体地磁测量容易受到各种误差影响而导致地磁姿态测量精度降低的问题,在分析自身误差和环境误差的基础上,对椭球模型的地磁测量误差进行建模,采用最大似然估计解算静态误差补偿参数,以解算结果为初值,通过递推最小二乘法推到补偿参数的实时更新算法,综合以上研究,形成用于地磁测量误差补偿的在线组合校正方法。仿真及实验结果表明,在接近盲区方向的最大姿态角误差小于5°,在线组合校正能够保证姿态检测系统在不同射向条件下的精度。 Aiming at the problem that projectile body geomagnetic survey is susceptible to various errors, which leads to the decreasing of the geomagnetic attitude measurement accuracy, the geomagnetic measurement error of the ellipsoid model is established on the basis of analyzing its own errors and environment errors, the maximum likelihood estimation algorithm is used to solve the static error compensation coefficient; taking the static error coefficient as initial value, recursive least squares method is adopted to obtain the real time update algorithm of the error coefficient. From above studies, the online combination correction algorithm for geomagnetic measurement error compensation is formed. The simulation and experimental results show that the maximum attitude angle error is less than 5~ in near blind zone direction, the online combination correction algorithm can ensure the accuracy of the attitude detection system under different shooting conditions.
作者 龙礼 黄家才
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2017年第6期1440-1446,共7页 Chinese Journal of Scientific Instrument
基金 江苏省自然科学基金(BK20151463 14KJB60016) 国家自然科学基金(61104085) 南京工程学院高层次引进人才科研启动基金(YKJ201414 YKJ201416)项目资助
关键词 地磁传感器 姿态角 递推最小二乘 椭球拟合 geomagnetic sensor attitude angle recursive least square ellipsoid fitting
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