Target Registration Correction Using the Neural Extended Kalman Filter

@article{Kramer2006TargetRC,
  title={Target Registration Correction Using the Neural Extended Kalman Filter},
  author={Kathleen A. Kramer and Stephen C. Stubberud and J. Antonio Geremia},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2006},
  volume={59},
  pages={1964-1971}
}
Target registration can be considered a problem in aligning the reports of two sensor platforms. It is often a result of sensor misalignment and navigation errors. One technique to alleviate these errors is to continually recompute a correction with each report. In this paper, a different approach using a modification of an adaptive neural network technique is proposed and developed. The technique, which is referred to as a neural extended Kalman filter, learns the differences between the a… CONTINUE READING
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