The Tracking Algorithm for Maneuvering Target ased on Adaptive Kalman Filter

The application of kalman filter in tracking the maneuver target is not available as it is used in tracking the target of uniform motion. Therefore, a improved method for tracking a maneuver target is proposed. In the proposed approach, the maneuver detector provides the estimate of time instant at which a target starts to maneuver, when a target maneuver is determined, the kalman filter model will be adjusted with varied target motion state. The maneuver, modeled as an acceleration, is estimated recursively. Finally, the performance of the proposed approach is shown to be superior to kalman filter by simulation.