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基于联邦SR-UKF算法的GPS/INS导航数据融合算法
引用本文:吴志峰,吴军,王蕊,张晓晗.基于联邦SR-UKF算法的GPS/INS导航数据融合算法[J].弹箭与制导学报,2009,29(3).
作者姓名:吴志峰  吴军  王蕊  张晓晗
作者单位:1. 空军工程大学工程学院,西安,710038
2. 东北大学材料冶金学院,沈阳,110004
摘    要:为提高导航系统数据融合的稳定性和容错性,将一种基于方根分解形式的Unscented卡尔曼滤波(SR-UKF)算法和分散式滤波技术相结合,建立了新的联邦滤波器SR-UKF算法并应用于GPS/INS组合导航系统中.数值仿真实验表明, 联邦SR-UKF 比联邦UKF 有更好的滤波精度、更高的稳定性和容错性, 是一种理想的非线性GPS/INS组合导航滤波方法.

关 键 词:INS/GPS组合导航  非线性滤波  联邦滤波  数据融合

GPS/INS Integrated Navigation Data Fusion Method Based on Federated SR-UKF Algorithm
WU Zhifeng,WU Jun,WANG Rui,ZHANG Xiaohan.GPS/INS Integrated Navigation Data Fusion Method Based on Federated SR-UKF Algorithm[J].Journal of Projectiles Rockets Missiles and Guidance,2009,29(3).
Authors:WU Zhifeng  WU Jun  WANG Rui  ZHANG Xiaohan
Affiliation:WU Zhifeng1,WU Jun1,WANG Rui2,ZHANG Xiaohan1(1 The Engineering Institute,Air Force Engineering University,Xi'an 710038 China,2 School of Materials & Metallurgical,Northeastern University,Shenyang 110004,China)
Abstract:In order to improve stability and fault tolerance of integrated navigation data fusion,an improved federated SR-UKF algorithm based on square root unscented Kalman filter algorithm and distributed information fusion technology was designed and used in the navigation system.The simulation results indicate that the federated SR-UKF has better filter precision and higher stability and the fault tolerance compared with the federated UKF.It is an ideal nonlinear filter method for INS/GPS integrated navigation.
Keywords:SR-UKF
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