1 February 1998 Development of multirate model and multirate interacting multiple model algorithm for multiplatform multisensor tracking
Author Affiliations +
Optical Engineering, 37(2), (1998). doi:10.1117/1.601631
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, Zhen Ding, Richard A. Wood, "Development of multirate model and multirate interacting multiple model algorithm for multiplatform multisensor tracking," Optical Engineering 37(2), (1 February 1998). http://dx.doi.org/10.1117/1.601631
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KEYWORDS
Detection and tracking algorithms

Algorithm development

Data modeling

Sensors

Optical engineering

Performance modeling

Data communications

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