Fusion Filtering Method Guided by Measurement Information in Integrated Navigation System

Abstract

Abstract:

Abstract： Aimed at the different output rates of each sub-aided navigation system in the integrated navigation system, a fusion filtering method guided by measurement information was proposed using information quality and information equivalent to register all the currently available information. Based on the additional principle, system state estimation was updated depending on the state prediction and currently available measurements, which is theoretically optimal. The simulation results show that the proposed method can handle the unequal output rates of multiple measurements, and work well when any subsystem goes wrong at any time. Compared with the federated filtering method and concentrated filtering method, the proposed method has a better realtime performance.

Key words: integrated navigation, fusion filtering, unequal interval, information fusion

CLC Number:

V 24

WANG Lina1,2,HUANG Bin3,GAO Xiaoying2,KANG Guohua3,SUN Yongrong3. Fusion Filtering Method Guided by Measurement Information in Integrated Navigation System[J]. Journal of Shanghai Jiaotong University, 2015, 49(09): 1394-1399.

References

［1］Goldenberg F. Geomagnetic navigation beyond the magnetic compass ［C］∥Position, Location, And Navigation Symposium, 2006 IEEE/ION. San Diego, California, USA: IEEE, 2006: 684694.

［2］刘翠翠，祁振强，张玉民,等. 非等间隔滤波及其在导航系统中的应用综述［J］. 航天控制，2011，29(5)：8289.

LIU Cuicui, QI Zhenqiang, ZHANG Yumin，et al. The overview and applications of unequal interval filtering in navigation system ［J］. Aerospace Control, 2011, 29(5): 8289.

［3］王丹，熊智，陈方，等. 考虑SAR图像导航量测特性的SAR/INS组合导航非线性滤波［J］. 应用科学学报，2010，28(4)：381386.

WANG Dan, XIONG Zhi, CHEN Fang，et al. Nonlinear filtering for SAR/INS integrated navigation considering SAR image navigation measurement characteristics ［J］. Journal of Applied Sciences, 2010, 28(4): 381386.

［4］罗婷，高晓颖，王丽娜. INS/GIS组合导航方法研究［J］. 空间控制技术与应用，2013，39(1)：4044.

LUO Ting, GAO Xiaoying, WANG Lina. On the INS/GIS integrated navigation algorithm ［J］. Aerospace Control and Application, 2013, 39(1): 4044.

［5］赵净净，王艳东. INS/SMNS组合导航信息融合算法［J］. 北京航空航天大学学报，2009，35(3)：292295.

ZHAO Jingjing, WANG Yandong. Information fusion algorithm in INS/SMNS integrated navigation system ［J］. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(3): 292295.

［6］李丹，刘建业，熊智,等. 基于多传感器的卫星容错自主导航系统［J］. 上海交通大学学报，2008，42(5)：841845.

LI Dan, LIU Jianye, XIONG Zhi，et al. Satellite’s multisensor autonomous fault tolerant navigation system ［J］. Journal of Shanghai Jiaotong University, 2008, 42(5): 841845.

［7］冷雪飞，刘建业，熊智. SAR/INS/TAN组合导航系统中的滤波算法研究［J］. 系统工程与电子技术，2006，28(1)：2326.

LENG Xuefei, LIU Jianye, XIONG Zhi. Study of filtering for SAR/INS/TAN integrated navigation system ［J］. System Engineering and Electronics, 2006, 28(1): 2326.

［8］于永军，刘建业，熊智，等. 非同步量测特性的惯性/星光/卫星组合算法研究［J］. 仪器仪表学报，2011，32(12)：27612767.

YU Yongjun, LIU Jianye, XIONG Zhi, et al. Study on SINS/STAR/GPS integrated navigation algorithm with incoordinate interval characteristics ［J］. Chinese Journal of Scientific Instrument, 2011, 32(12): 27612767.

［9］GAO Shesheng, ZHONG Yongmin, ZHANG Xueyuan, et al. Multisensor optimal data fusion for INS/GPS/SAR integrated navigation system［J］. Aerospace Science and Technology, 2009, 13(45): 232237.

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