基于信息融合技术的惯性/多传感器组合导航系统设计  

Inertial/Multi-Sensor Integrated Navigation System Design Based on Information Fusion Technology

作　　者：闫钧宣[1] 张科[1] 

机构地区：[1]西北工业大学航天学院,陕西西安710072

出　　处：《计算机测量与控制》2010年第10期2364-2367,共4页Computer Measurement &Control

摘　　要：惯性/多传感器导航系统具有高精度、高容错性能的潜力;经典的集中处理卡尔曼滤波器存在着计算量大、容错性差等缺陷,难以开发出这种潜力,目前多传感器组合导航系统中越来越多地采用联合滤波结构;总结了联合滤波器理论以及结构形式,探讨了联邦滤波器的设计方法以及信息的合理分配原则,构造了INS/GPS/CNS组合导航系统滤波结构,经过仿真证明了联合滤波器的性能及其在组合导航系统中应用的可行性。INS/multi-sensor navigation system is a high precision,high performance,fault tolerant potential.Focus on the classical Kalman filter is difficult to develop this potential,because of the existence of a centralized structure,a large amount of the calculation and poor fault tolerance,the present multi-sensor integrated navigation system,more and more use of joint filter structure.This paper summarizes the joint filter theory and structure.To explore the Federal filter design methods and the principles of rational distribution of the information to construct the INS / GPS / CNS Integrated Navigation System filter structure,the simulation shows the performance of the federated filter and its application in the integrated navigation system is feasible.

关 键 词：联合Kalman滤波 信息融合 组合导航 

分 类 号：V666.11[航空宇航科学技术]