Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system

作者：Gao Shesheng^*; Zhong Yongmin; Zhang Xueyuan; Shirinzadeh Bijan

来源：Aerospace Science and Technology, 2009, 13(4-5): 232-237.

DOI：10.1016/j.ast.2009.04.006

• Integrated navigation system
• Data fusion
• Decentralized fusion and global optimal fusion

INS/GPS/SAR integrated navigation system represents the trend of next generation navigation systems with the high performance of independence, high precision and reliability. This paper presents a new multi-sensor data fusion methodology for INS/GPS/SAR integrated navigation systems. This methodology combines local decentralized fusion with global optimal fusion to enhance the accuracy and reliability of integrated navigation systems. A decentralized estimation fusion method is established for individual integrations of GPS and SAR into INS to obtain the local optimal state estimations in a parallel manner. A global optimal estimation fusion theory is studied to fuse the local optimal estimations for generating the global optimal state estimation of INS/GPS/SAR integrated navigation systems. The global data fusion features a method of variance upper finiteness and a method of variance upper bound to ensure that the global optimal state estimation can be achieved under a general condition. Experimental results demonstrate that INS/GPS/SAR integrated navigation systems achieved by using the proposed methodology have a better performance than INS/GPS integrated systems.

• 出版日期2009-7
• 单位西北工业大学