基于多恒星背景的目标视位置测量方法研究

On methods of measuring target LOS location in multi-star circumstances

光雷捷联探测技术通过星敏感器成像所得的图像解算出空间目标视位置信息.为研究在未知星敏感器姿态的情况下求解目标视位置的算法,根据光雷捷联探测技术中目标视位置求解原理,给出了采用双星角距测量算法和改进的多星最小二乘测量算法;在多星背景下运用Matlab软件进行了仿真实验,比较了两种算法的有效性、测量精度和实时性.实验结果表明改进多星最小二乘算法在计算时间和精度上均优于双星角距测量算法和传统多星最小二乘测量算法.

Optics and radar strap-down measuring (ORSM) refers to the technology of calculating the LOS (line of sight) location information of the spatial object by using the images obtained by the star sensors. In order to study the algorithm for solving the target LOS location in the case of unknown attitude of the star sensors, this paper offers the 2-star angular distance measuring method and the modified multi-star least squares algorithm according to the principle for solving the spatial target LOS location in the ORSM technology. In the multi-star circumstances, Matlab has been used in the paper to do simulation, make comparison of the effectiveness,accuracy and real time of the two algorithms. The experimental results show that the modified multi-star least squares algorithm overmatches the 2-star angular distance measuring method and the traditional multi-star least squares algorithm in terms of computation time and precision.