Chen Li, Chong-Zhao Han and Hong-Yan Zhu. A New Smoothing Approach with Diverse Fixed-lags Based on Target Motion Model. International Journal of Automation and Computing, vol. 3, no. 4, pp. 425-430, 2006. DOI: 10.1007/s11633-006-0425-x
Citation: Chen Li, Chong-Zhao Han and Hong-Yan Zhu. A New Smoothing Approach with Diverse Fixed-lags Based on Target Motion Model. International Journal of Automation and Computing, vol. 3, no. 4, pp. 425-430, 2006. DOI: 10.1007/s11633-006-0425-x

A New Smoothing Approach with Diverse Fixed-lags Based on Target Motion Model

  • Recently, lots of smoothing techniques have been presented for maneuvering target tracking. Interacting multiple model-probabilistic data association (IMM-PDA) fixed-lag smoothing algorithm provides an efficient solution to track a maneuvering target in a cluttered environment. Whereas, the smoothing lag of each model in a model set is a fixed constant in traditional algorithms. A new approach is developed in this paper. Although this method is still based on IMM-PDA approach to a state augmented system, it adopts different smoothing lag according to diverse degrees of complexity of each model. As a result, the application is more flexible and the computational load is reduced greatly. Some simulations were conducted to track a highly maneuvering target in a cluttered environment using two sensors. The results illustrate the superiority of the proposed algorithm over comparative schemes, both in accuracy of track estimation and the computational load.
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