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Proceedings Paper

A fuzzy adaptive fusion algorithm for radar/infrared dual mode guidance
Author(s): Chaoyang Dong; Xiaorong Shi; Liancui Xia
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Paper Abstract

An adaptive decentralized fusion algorithm based on H filter and fuzzy adaptive fusion is proposed for radar/infrared dual mode guidance system, which combines the merits of H filter and fuzzy logic. To overcome the defect of the dependence on priori assumption of noise covariance matrices of Kalman filter, H filter is introduced, which needs no priori knowledge of process and measurement noise covariance matrices. Fuzzy inference system is applied for its simplicity of the approach and the capability of processing imprecise information. The performance of the each filter is evaluated with a confidence degree based on fuzzy logic and covariance-matching technique. The fusion center fuses the local tracks adaptively according to the performance of each filter. The algorithm is implemented in three steps. First, the H filter is used to process the measurement-vector from each sensor to obtain the local state estimate, thus two H filters work in parallel. Then fuzzy inference system is employed to assign the confidence degree of each Hfilter. Finally, local state estimates are fed to fusion center to obtain the fused state estimate based on the confidence degrees. Simulation results show good performance of the proposed algorithm.

Paper Details

Date Published: 30 October 2006
PDF: 7 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 63583A (30 October 2006); doi: 10.1117/12.718048
Show Author Affiliations
Chaoyang Dong, Beijing Univ. of Aeronautics and Astronautics (China)
Xiaorong Shi, Beijing Institute of Control and Electronic Technology (China)
Liancui Xia, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

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