摘要
运动平台载体的传感器误差配准是目前多传感器误差配准中的难点问题之一。利用合作目标已知位置,将载体平台姿态角偏差转换为传感器测量偏差中的一部分,并建立传感器极坐标测量系中各坐标轴的偏差解耦模型。在此基础上,利用广义最小二乘方法可实现平台载体的姿态偏差和测量偏差的实时估计。仿真结果表明,该方法的收敛速度快,可以同时有效估计平台载体的姿态偏差和传感器测量偏差。
The bias estimation for sensors on moving base is one of difficult sensor registration problems.Using the true position of cooperation targets,the gesture angle biases of moving base are converted to the measurement biases,and a decoupling model for computing all kinds of biases is proposed in polar coordinates.Based on the decoupling model,the generalized least square method is used to estimate the gesture angle biases and measurement biases in real time.A Monte Carlo simulation is used to analyze the performance of the method.The simulation results show the effectiveness and the strong convergence rate of the proposed algorithm.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2011年第3期544-547,共4页
Systems Engineering and Electronics
基金
国家自然科学基金(60801049)资助课题
关键词
误差配准
运动平台
合作目标
广义最小二乘
registration
moving base
cooperation target
generalized least square
