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Volume 28 Issue 3
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2020  >  28(3): 263-270
YANG Guan-jin-zi, LI Jian-chen, GUO Lin-na, HUANG Hai. An Initial Alignment Method Using Backtracking Algorithm Combined with Data Sequence Reconstruction Fusion Filtering[J]. Journal of Unmanned Undersea Systems, 2020, 28(3): 263-270. doi: 10.11993/j.issn.2096-3920.2020.03.004
Citation: YANG Guan-jin-zi, LI Jian-chen, GUO Lin-na, HUANG Hai. An Initial Alignment Method Using Backtracking Algorithm Combined with Data Sequence Reconstruction Fusion Filtering[J]. Journal of Unmanned Undersea Systems, 2020, 28(3): 263-270. doi: 10.11993/j.issn.2096-3920.2020.03.004
shu

An Initial Alignment Method Using Backtracking Algorithm Combined with Data Sequence Reconstruction Fusion Filtering

doi: 10.11993/j.issn.2096-3920.2020.03.004
  • 1.

    The 705 Research Institute, China Shipbuilding Industry Corporation, Xi’an 710077, China

  • 2.

    Science and Technology on Underwater Information and Control Laboratory, Xi’an 710077, China

  • Received Date: 2019-05-19
  • Rev Recd Date: 2019-07-21
  • Publish Date: 2020-06-30
    Abstract
  • In order to improve the initial alignment accuracy of torpedo and ensure shorter alignment time, on the basis of applying the backtracking algorithm to the initial alignment, a data sequence reconstruction fusion filtering method is proposed by calling and offline-processing the stored data. The proposed method can further improve the filtering estimation and alignment accuracy within a certain time compared with the traditional “forward-backward-forward” filtering backtracking algorithm by re-calling of the stored data, overall identification, feature extraction, time sequence re-construction, and construction of a multi-stage filter. Comparison between simulation results and sea trial data proves the effectiveness of the proposed method in accuracy and time.

     

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