Maneuvering targets state prediction based on robust H∞ filtering in opto-electronic tracking system

Authors:
Wei Ji;Qi Li;Bo Xu;Dean Zhao
Affiliations:
The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China;Research Institute of Automation, Southeast University, Nanjing, 210096, China;The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China;The School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013, China
Venue:
Signal Processing
Year:
2010

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Abstract

Due to the measurement time-delay, noises of the charge coupled device (CCD) tracker and maneuvering target model uncertainty characteristic in opto-electronic tracking system, the current statistical model is utilized to describe the unknown acceleration of the maneuvering target. H^~ filter algorithm based on acceleration non-zero mean value time-correlation model is adopted for state prediction of opto-electronic tracking maneuvering targets. Some simulation and experimental results show that the prediction precision by the proposed method is nearly to be twice as much as Kalman filtering. It indicates that the H^~ filter is effective in overcoming model change and stochastic measurement noise, and has high accuracy and good robustness.