TY - JOUR
T1 - The tracking algorithm for maneuvering target based on adaptive kalman filter
AU - Tang, Zheng
AU - Sun, Chao
AU - Liu, Zongwei
PY - 2013/9
Y1 - 2013/9
N2 - 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.
AB - 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.
KW - Adaptive kalman filter
KW - Maneuver detector
KW - Maneuver target tracking
KW - State estimation
UR - http://www.scopus.com/inward/record.url?scp=84864988807&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:84864988807
SN - 1683-3198
VL - 10
JO - International Arab Journal of Information Technology
JF - International Arab Journal of Information Technology
IS - 5
ER -