Abstract:

Reliable and timely decision on target onset is the key of decision based single model techniques for maneuvering target tracking and the performance of a maneuver detector can be improved by making use of Doppler measurement extensively. A novel approach for detecting unknown maneuver is proposed. To avoid the unresolvedness of the acceleration estimator when the measurement noise level is high or tangential acceleration is presented, a more accurate algorithm is proposed, which uses Doppler measurement by solving optimization problem based on the Mahalanobis distance. A sequential maneuver detector is developed based on the Neyman-Pearson criterion to overcome threshold shifting which results from the maneuver detection delay. Finally, the simulation results show that the proposed detector possesses a lower average detection delay.