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Content Provider | IEEE Xplore Digital Library |
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Author | Liping Song Hongbing Ji |
Copyright Year | 2006 |
Description | Author affiliation: Sch. of Electron. Eng., Xidian Univ, Xi'an (Liping Song; Hongbing Ji) |
Abstract | Being different from Kalman filter, higher-order moment based target tracking provides a new solution to a target tracking. It is unnecessary to compute the Kalman gain matrix and the filtered corresponding covariance matrix, so as to avoid the determination of the initial filtered corresponding covariance matrix which is difficult sometimes. The new method presented in this paper predicts and estimates the state of the target only through the third-order moment of the measurement vector. It needs not any knowledge about the measurement noise. The result deduced is very simple and is convenient for engineering |
Starting Page | 4 |
Ending Page | 80 |
File Size | 1796863 |
Page Count | 77 |
File Format | |
ISBN | 0780393953 |
DOI | 10.1109/ISSCAA.2006.1627706 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-01-19 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Target tracking Gaussian noise Kinematics Nonlinear filters Time measurement Covariance matrix Noise measurement Kalman filters State estimation Recursive estimation |
Content Type | Text |
Resource Type | Article |
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