Volume 36 Issue 2
Dec.  2017
Article Contents

CEN Ming, FU Cheng-yu, CHEN Ke, LIU Xing-fa. Error-Space Estimate Method for Synergic Target Tracking[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 217-219,274.
Citation: CEN Ming, FU Cheng-yu, CHEN Ke, LIU Xing-fa. Error-Space Estimate Method for Synergic Target Tracking[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 217-219,274.

Error-Space Estimate Method for Synergic Target Tracking

  • Received Date: 2005-11-16
  • Publish Date: 2007-12-15
  • To improve tracking accuracy and stability of optic-electronic target tracking system, the conception of generalized synergic target and an algorithm named error-space estimation method are presented. In this algorithm, the motion of target is described by leading data and leading errors, then maneuver of target is separated into leading data and leading errors to reduce maneuver level. The prediction data of target position are acquired by synthesizing the filtering data from target state-space according to kinematics model and the prediction data from error-space according to leading error model. Differing from typical multi-model method, the kinematics model and leading error model work concurrently rather than switch between models. Experiment results show that the performance of the algorithm is better than Kalman filter and strong tracking filter at same maneuver level.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Error-Space Estimate Method for Synergic Target Tracking

Abstract: To improve tracking accuracy and stability of optic-electronic target tracking system, the conception of generalized synergic target and an algorithm named error-space estimation method are presented. In this algorithm, the motion of target is described by leading data and leading errors, then maneuver of target is separated into leading data and leading errors to reduce maneuver level. The prediction data of target position are acquired by synthesizing the filtering data from target state-space according to kinematics model and the prediction data from error-space according to leading error model. Differing from typical multi-model method, the kinematics model and leading error model work concurrently rather than switch between models. Experiment results show that the performance of the algorithm is better than Kalman filter and strong tracking filter at same maneuver level.

CEN Ming, FU Cheng-yu, CHEN Ke, LIU Xing-fa. Error-Space Estimate Method for Synergic Target Tracking[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 217-219,274.
Citation: CEN Ming, FU Cheng-yu, CHEN Ke, LIU Xing-fa. Error-Space Estimate Method for Synergic Target Tracking[J]. Journal of University of Electronic Science and Technology of China, 2007, 36(2): 217-219,274.

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