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- W2359526479 abstract "In order to achieve accurate measurement of the measured object's dynamic position in uniform,uniformly accelerated and varying accelerated motion state,it puts forward a weighted fusion algorithm of multi sensor information based on adaptive fading kalman filter.This algorithm makes the measurement data from each sub-sensor for adaptiving fading kalman filter,and then allocates the estimate of position measurement weights adaptively and real-time with the obtained mean square error matrix,at last,weighted fusion.Based on an example it validates the algorithm.Compared with the traditional MSIF-SKF algorithm,the WFMS-AFKF algorithm has a higher dynamic position detection accuracy." @default.
- W2359526479 created "2016-06-24" @default.
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- W2359526479 date "2013-01-01" @default.
- W2359526479 modified "2023-09-27" @default.
- W2359526479 title "The Weighted Fusion Algorithm of Multi-sensor Information Based on Adaptive Fading Kalman Filter" @default.
- W2359526479 hasPublicationYear "2013" @default.
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