4.7 Article

Tracking of Maneuvering Extended Target Using Modified Variable Structure Multiple-Model Based on Adaptive Grid Best Model Augmentation

Journal

REMOTE SENSING
Volume 14, Issue 7, Pages -

Publisher

MDPI
DOI: 10.3390/rs14071613

Keywords

extended target tracking; variable structure multiple-model; adaptive grid; best model augmentation

Funding

  1. National Thirteen-Five Equipment Pre-Research Foundation of China [61403120207]
  2. Aeronautical Science Foundation of China [20185142003]
  3. Natural Science Foundation of Henan Province, China [222300420433]
  4. Science and Technology Innovative Talents in Universities of Henan Province [21HASTIT030]
  5. Young Backbone Teachers in Universities of Henan Province [2020GGJS073]

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Maneuvering extended target tracking, a challenging research field in radar signal processing, has attracted increasing attention. The current mainstream tracking algorithm, Variable structure multiple-model (VSMM) estimation, relies heavily on the model set used and faces challenges in complex maneuvering situations. A modified BMA algorithm based on adaptive grid is proposed in this paper to adapt to complex maneuvering scenarios and improve tracking performance. Digital simulations show that the proposed method provides a more reliable estimation of the kinematic state and shape of the extended target.
Maneuvering extended target tracking, an important but challenging research field, has attracted increasing attention in the field of radar signal processing. Variable structure multiple-model (VSMM) estimation is the current mainstream tracking algorithm, it possesses high tracking performance but depends largely on the model set used. However, the existing model set design methods still cannot offer higher tracking performance due to the complex maneuverability of the target. The current best model augmentation (BMA) algorithm is an efficient and universal model set design method, but it cannot adapt well to complex maneuvering situations because of its fixed basic and candidate model set. Hence, this paper proposes a modified BMA algorithm for VSMM based on adaptive grid, it can make full use of the previous information to realize an adaptation and time variation of the model set. Overall, two different scenarios were considered, wherein the digital simulation shows that the proposed method can provide a more reliable estimation of the kinematic state and shape of the extended target.

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