论文部分内容阅读
为了提高三视场定位定向设备可靠性,建立三视场系统功能的基本约束条件测试模型,以模型为依据对可见光波段的视场进行优化分析。首先,分析了设备正常完成工作时采用组合星图识别和简单星图识别所需的必要条件,并建立这两种识别方式关于视场大小的概率分布模型。从原理和实验数据两个方面说明了三视场结构识别三角形概率分布不能通过单视场的概率分布简单推导获取的原因。接着,给出用蒙特卡洛法求取此概率分布和视场最优值的方法。然后,通过仿真分析得出了两种识别方法关于视场大小的概率分布,在分析两种识别方法仿真数据的基础上,取识别概率为1时视场大小为其优化值。实验结果表明:以组合星图识别为工作基础的三视场定位定向设备有更好的可靠性,优化的视场大小为4.225°×3.168 75°。它满足三视场定位定向设备识别条件可靠性要求。
In order to improve the reliability of the three-field positioning and orienting equipment, a basic constraint condition test model of the three-field-of-view system function is established, and the field of view in the visible light band is optimized based on the model. First of all, the necessary conditions for combined star chart identification and simple chart identification in equipment normal operation are analyzed, and the probability distribution models of these two identification methods for field size are established. From the principle and experimental data two aspects illustrate the three-field structure recognition triangle probability distribution can not be deduced by a single field of probability distribution of the reason. Then, a method of calculating the probability distribution and the optimal field of view using Monte Carlo method is given. Then, based on the simulation analysis, the probability distributions of the two recognition methods with respect to the size of the field of view are obtained. Based on the analysis of the simulation data of the two recognition methods, the size of the field of view is taken as the optimal value when the recognition probability is 1. The experimental results show that the three-field positioning and pointing device based on the combined star map recognition has better reliability and the optimized field size is 4.225 ° × 3.168 75 °. It meets the reliability requirements of the identification conditions of three-field positioning and orientation equipment.