Title: A new algorithm on tracking maneuvering target based on maneuver detection
Abstract: Divergence may occur in Kalman filter tracking maneuvering target, many of self-adjusting Kalman filters cannot well adjust to any movement model. To solve the problems, a new algorithm on tracking maneuvering target based on maneuver detection is brought forward. With this method, the tracking precision is improved by real-time self-adjusting the filter model. The simulations on this algorithm and Kalman filter are made by computer, the results show that this algorithm has the following merits, the computing quantity is less, it can real-time self-adjust the filter model to adapt to target movement so the tracking is steady.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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Cited By Count: 2
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