1 February 1998 Development of multirate model and multirate interacting multiple model algorithm for multiplatform multisensor tracking
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Abstract
A distributed multirate interacting multiple model (DMRIMM) tracking algorithm is developed. The algorithm is based on a reformulation of the interacting multiple model (IMM) filter under the assumption that each model operates at an update rate proportional to the model's assumed dynamics. A multirate model is derived based on the geometrical interpretation of a discrete wavelet transform. A wavelet transform is used to generate equivalent multirate measurements, which exhibit the additional property of lower equivalent measurement noise for low-rate data. Using this filtering approach, the MRIMM algorithm significantly outperforms a full-rate IMM filter when no maneuvers occur and moderately outperforms the IMM filter when maneuvers occur. Based on the MRIMM algorithm, a distributed version DMRIMM algorithm for multiplatform multisensor tracking is proposed. The MRIMM algorithm is first employed to perform each local/platform estimation. A global filter is then constructed to perform a fusion of MRIMM estimations. The advantage of performance improvement is demonstrated through Monte Carlo simulations.
Lang Hong, Lang Hong, Zhen Ding, Zhen Ding, Richard A. Wood, Richard A. Wood, } "Development of multirate model and multirate interacting multiple model algorithm for multiplatform multisensor tracking," Optical Engineering 37(2), (1 February 1998). https://doi.org/10.1117/1.601631 . Submission:
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