摘要
对海上多平台多传感器误差配准问题,利用平台的高精度导航信息将各传感器的量测数据转换到地心坐标系下,构建关于传感器偏差和舰艇姿态误差的伪测量模型,采用卡尔曼滤波对配准误差进行在线估计和补偿.算法较好地解决了传统的基于球极投影误差配准技术受地球曲率影响的不足,并突破了离线配准算法假定配准误差恒定的限制.仿真实验结果验证了算法的正确性和有效性.
In the error registration of multiple sensors in multiple platforms on the sea,we make use of the highprecision navigation facilities to transform measurements of sensors to the ECEF(earth-centered earth-fixed) coordinates.The fictitious measurement models for both the sensor bias and the attitude errors are built,and a Kalman filter is employed to estimate and compensate the registration errors on line.This algorithm reduces the registration errors due to the curvature of the earth surface in classical registration algorithms based on stereographic projection.It also removes the necessary condition of constant registration error in the off-line algorithms.Simulation results demonstrate the correctness and validity of the algorithm.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2011年第4期497-503,共7页
Control Theory & Applications
基金
湖北省自然科学基金资助项目(2006ABA010
2009CDB098
2009CDB274)
关键词
数据融合
海上协同
传感器配准
地心坐标系
卡尔曼滤波
data fusion
maritime cooperation
sensor registration
ECEF coordinate system
Kalman filtering