Blind Robust Multi-Horizon EFIR Filter for Tightly Integrating INS and UWB

  • Xu, Yuan
  • Shmaliy, Yuriy S.
  • Ahn, Choon Ki
  • Chen, Xiyuan
  • Guo, Hang
  • 외 1명
Citations

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18

초록

In this paper, a novel model to localize a human accurately in indoor industrial environments by integrating the inertial navigation system (INS) technique with ultra wide band (UWB) technology is present. The distances between the target human and the reference node measured from INS and UWB are used by the fusion filter. To improve accuracy, the robust extended finite impulse response (EFIR) filtering algorithm is developed to operate on multi horizons (MHs), thereby providing blind suboptimal estimates. Experimental testing has shown that the real-time blind MH EFIR algorithm is almost as accurate as the EFIR filter, which requires a preliminarily determined optimal horizon.

키워드

NavigationLocation awarenessSensorsOptimized production technologyIndexesReal-time systemsStandardsIndoor localization schemetightly integrationextended FIR filtermulti-horizonSELF-LOCALIZATIONIGNORING NOISEKALMAN FILTERFIR
제목
Blind Robust Multi-Horizon EFIR Filter for Tightly Integrating INS and UWB
저자
Xu, YuanShmaliy, Yuriy S.Ahn, Choon KiChen, XiyuanGuo, HangZhuang, Yuan
DOI
10.1109/JSEN.2021.3105566
발행일
2021-10-15
유형
Article
저널명
IEEE Sensors Journal
21
20
페이지
23037 ~ 23045