Neural network aided Kalman filtering for multitarget tracking applications

Abstract

The adaptive capability of the Kalman filtering is known to increase by incorporating a neural network into the normal Kalman filter. Current work extends this fact and proposes the neural network aided Kalman filtering scheme for tracking multitargets that are highly manoeuvring. The improvement in the tracking accuracy due to the proposed scheme is presented for various tracking scenarios.