An improved parameter adaptive CS model for maneuvering target tracking

Qian-xue Fang; Jian-wen Yang; Jun Chen

doi:10.1117/12.2243845

29 August 2016 An improved parameter adaptive CS model for maneuvering target tracking

Qian-xue Fang, Jian-wen Yang, Jun Chen

Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330Q (2016) https://doi.org/10.1117/12.2243845
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China

Abstract

To improve the tracking accuracy of maneuvering target, a tracking algorithm based on parameter adaptive current statistical (CS) model is proposed. According to the relationship between the acceleration increment and displacement, the acceleration variance is adjusted adaptively. According to the statistical distance of the measurement residuals, the target maneuver characteristics are determined, and then the maneuvering frequency and the filter gain coefficient of the model are adjusted to improve the matching degree between the algorithm model and the target maneuver model. The simulation results show that the tracking algorithm based on the parameter adaptive CS model can improve the tracking performance of the strong maneuvering target.

Citation Download Citation

Qian-xue Fang, Jian-wen Yang, and Jun Chen "An improved parameter adaptive CS model for maneuvering target tracking", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330Q (29 August 2016); https://doi.org/10.1117/12.2243845

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