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Content Provider | IEEE Xplore Digital Library |
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Author | Lin Mao Sheng Liu |
Copyright Year | 2010 |
Description | Author affiliation: Department of Automation, Harbin Engineering University, 150001, China (Lin Mao; Sheng Liu) |
Abstract | A new multi-sensor distributed UKF filter is proposed based on information fusion for nonlinear problems of measurement equation in passive location application. This algorithm uses UKF filter to calculate the state estimation values of local sensors respectively, and consequently the system fusion estimation is obtained by applying the distributed optimal fusion rule weighted by scales. The two-sensor simulation results show that the proposed algorithm can improve the accuracy of filter compared with the single sensor. |
Starting Page | 672 |
Ending Page | 675 |
File Size | 183064 |
Page Count | 4 |
File Format | |
ISBN | 9781424451814 |
DOI | 10.1109/CCDC.2010.5498926 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-26 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Passive Location Automation Nonlinear equations Passive filters Stability Observers Sensor fusion Sensor systems Information filtering Information filters Information Fusion State estimation UKF Filter |
Content Type | Text |
Resource Type | Article |
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