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《Journal of Nanjing University of Science and Technology》 2017-03
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Multi-sensor fault-tolerant fusion algorithm using unscented information filter

Yang Chun;Guo Jian;Zhang Lei;Chen Qingwei;School of Automation,Nanjing University of Science and Technology;  
A new multi-sensor fault-tolerant fusion algorithm is proposed for the poor accuracy of nonlinear data fusion systems and fault detection threshold selection problem. Unscented information filters are embedded into measurement subsystems,and the linearization error is avoided because the system need not be linearized.A fault detection algorithm based on fuzzy logic is designed. The subsystem validation probability is calculated using Chi-square test. Fault subsystems are isolated adaptively according to the validation probability of the subsystem,and the difficulty of selecting fault detection threshold is solved.The proposed algorithm is applied to a strap-down inertial navigation system/beidou2/global position system( SINS/BD2/GPS) integrated navigation system,and the simulation results show the availability.
【Fund】: 国家自然科学基金(61673219;61673217)
【CateGory Index】: TP212
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