摘要
根据天基红外低轨卫星系统中红外传感器所获取的目标方位信息,对自由段空间目标的多星定位方法进行了研究。针对目标的运动特性,从收敛速度、系统可靠性和估计精度等方面,提出了提高定位精度的卡尔曼跟踪滤波和自适应滤波模型,进行了相应的跟踪定位数据仿真实验和系统定位分析。结果表明,利用最小二乘法并结合卡尔曼跟踪滤波和自适应滤波,可对导弹中段进行有效定位和跟踪。
Based on the bearing-only measurements given by the infrared detectors of the spacebased infrared low earth orbit constellation, the methods of locating ballistic target of coast phase in the system is processed. According to the flight characteristic of ballistic target in coast phase, the convergence time, system reliability and the estimation precision are well considered in expressing for the models of Kalman filter and adaptive filter which can improve the location accuracy, and then, the data simulation is given accordingly. The results show that the least squares estimate combining with Kalman filter and adaptive filter are effective when locating ballistic target of coast phase in the SBIRS Low system.
出处
《装备指挥技术学院学报》
2008年第2期71-75,共5页
Journal of the Academy of Equipment Command & Technology
关键词
天基红外低轨卫星系统
多星定位
最小二乘法
卡尔曼跟踪滤波
space-based infrared low earth orbit system (SBIRS-Low)
multiple satellite location
least squares
Kalman tracking filter