GPS／INS／TAN组合导航系统建模与仿真

The Modelling and Simulation of GPS/INS/TAN Integration Navigation System

组合导航系统是提高导航系统性能价格比的有效途径,随着信息融合技术的发展,联邦滤波理论由于可以灵活地设计出精度最优或容错能力最强的组合导航系统,已受到导航界的高度重视,在研究分析联邦卡尔曼滤波器的算法和结构特点的基础上,提出一种适用于GPS/INS/TAN组合导航系统工程应用的联邦卡尔曼滤波方案,该方案采用无复位结构既保证了容错能力,又兼顾到了导航精度和运算速度,并对组合导航系统的各分系统、子滤波器及主滤波器进行了数学建模、仿真研究和分析,结果表明:在确保整个组合系统可靠性的前提下,导航精度有了明显提高。

Integrating several kinds of navigation systems together is an effective way to increase the performance cost ratio of the navigation system. With the development of information fusion technology, the federated filtering becomes more and more attractive in navigation field, since the federated Kalman filter can be flexibly used in designing the integrated navigation system with high precision or best fault -tolerance capability. Based on the study and analysis of the algorithm and the characteristic in structure of the federated Kalman filter, a project of GPS/ INS/TAN integration navigation system is presented, in this project the good fault -tolerance can be guaranteed, simultaneously the high precision and the operation tempo can also be taken into consideration. In this paper the mathematic model of GPS/INS/TAN integration navigation system is established, simulated and analyzed. The result indicates that this project is an effective way to improve the precision of navigation.