AN ADAPTIVE ALGORITHM ON MANEUVERING TARGET TRACKING BASED ON THE INNOVATION BIAS
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Graphical Abstract
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Abstract
With a certain maneuvering input, an equation to adjust the process noise covariance of standard Kalman Filter to keep the optimal estimation has been put forward. With the positive or negative bias information of the innovation, an adaptive tracking algorithm is designed. Simulation results show the characteristics of calculated simplicity and high tracking precision of the algorithm.
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