Tracking an underwater maneuvering target using an adaptive Kalman filter

@article{Li2013TrackingAU,
  title={Tracking an underwater maneuvering target using an adaptive Kalman filter},
  author={Wei Li and Yiping Li and Shenzhen Ren and Xisheng Feng},
  journal={2013 IEEE International Conference of IEEE Region 10 (TENCON 2013)},
  year={2013},
  pages={1-4}
}
To improve the tracking accuracy of an underwater maneuvering target, according to its characteristics of low speed and weak maneuvering performance, an adaptive Kalman filter is given based on the online estimation of the process noise variance. As the main filter analyzes the target motion, the process noise variance of the main filter is estimated by an auxiliary filter for being adaptively adjusted according to the target maneuvering intensity to improve the target tracking accuracy for… CONTINUE READING