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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,...
The neural extended Kalman filter is an adaptive state estimation routine that can be used in tracking systems to aid in the tracking through maneuvers. A neural network is trained using a Kalman filter training paradigm that is driven by the same residual as the state estimator and approximates the difference between the a priori model used in the prediction steps of the estimator and the actual...
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