The Tracking Algorithm for Maneuvering Target Based on Adaptive Kalman Filter
Zheng Tang, Chao Sun, Zongwei Liu
School of Marine Technology, Northwestern Polytechnical University, China
School of Marine Technology, Northwestern Polytechnical University, China
Abstract: 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 recurslvely. Finally, the performance of the proposed approach is shown to be superior to kalman filter by simulation.
Keywords: Adaptive kalman filter, maneuver target tracking, maneuver detector, state estimation.
Received June 29, 2011; accepted December 30, 2011