• Opto-Electronic Engineering
  • Vol. 42, Issue 7, 49 (2015)
HE Danmin*, PENG Dongliang, SHI Wanwan, and GU Yu
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2015.07.009 Cite this Article
    HE Danmin, PENG Dongliang, SHI Wanwan, GU Yu. A Hybrid Grid Multi-model Estimation Based on the Current Statistic Model[J]. Opto-Electronic Engineering, 2015, 42(7): 49 Copy Citation Text show less

    Abstract

    Due to decline problem of tracking accuracy caused by acceleration estimation inaccuracy in Hybrid Grid Multiple Model (HGMM) algorithm,a new HGMM algorithm based on Current Statistics (CS) model is proposed,since the current acceleration mean in CS model can reflect true target motion model more accurately.Grid partition is performed by estimation of the acceleration mean in CS model,and possible model set of the target is generated online.Then,interactive multiple model algorithm is adopted to track target.The proposed algorithm performance is tested and compared in general and strong maneuvering scenarios,and simulation results demonstrate that the proposed algorithm not only improves the accuracy for maneuvering target tracking,but also can be applied to most of the tracking scenarios.
    HE Danmin, PENG Dongliang, SHI Wanwan, GU Yu. A Hybrid Grid Multi-model Estimation Based on the Current Statistic Model[J]. Opto-Electronic Engineering, 2015, 42(7): 49
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