Fuzzy multiple model tracking algorithm for manoeuvring target
Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) - Tập 2 - Trang 818-823 vol.2
Tóm tắt
This paper develops a tracking algorithm for maneuvering target based on fuzzy logic inference (FMMTA). In place of the model probability computed intricately in the IMM, filtering measurement innovations are tackled with the innovation covariance, and the results are used as the input to a fuzzy inference system to get the matched degrees for each filtering model in the model set designed. With the matched degrees, the estimation from each filtering is weighted to obtain the maneuvering target's overall estimation and its covariance. The performance of FMMTA is tested via Monte Carlo simulation, and the result expresses its validity and its promise.
Từ khóa
#Target tracking #Fuzzy logic #Inference algorithms #Matched filters #Filtering #Technological innovation #Uncertainty #Additive noise #Noise measurement #TestingTài liệu tham khảo
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