Maneuvering target tracking using extended Kalman filter
β Scribed by Cortina, E.; Otero, D.; D'Attellis, C.E.
- Book ID
- 121828483
- Publisher
- IEEE
- Year
- 1991
- Tongue
- English
- Weight
- 255 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0018-9251
- DOI
- 10.1109/7.68158
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## Abstract A method is proposed for combining the acquired information of several passive sensors in order to obtain twoβdimensional information on the elevation and azimuth angles of the target and to estimate the location and velocity of the moving target in a threeβdimensional space. In the cas
The neural extended Kalman filter is an adaptive state estimation routine that can be used in target-tracking systems to aid in the tracking through maneuvers without prior knowledge of the targets' dynamics. Within the neural extended Kalman filter, a neural network is trained using a Kalman filter