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A New MIMU/GNSS Ultra-Tightly Coupled Integration Architecture for Mitigating Abrupt Changes of Frequency Tracking Errors.
Liu, Shiming; Li, Sihai; Fu, Qiangwen; Tao, Yuanbo; Wu, Feng.
Afiliação
  • Liu S; School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
  • Li S; School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
  • Fu Q; School of Automation, Northwestern Polytechnical University, Xi'an 710072, China.
  • Tao Y; China Ordnance Industry Navigation and Control Technology Research Institute, Beijing 100089, China.
  • Wu F; Shanghai Aerospace Control Technology Institute, Shanghai 201109, China.
Micromachines (Basel) ; 11(12)2020 Dec 16.
Article em En | MEDLINE | ID: mdl-33339344
ABSTRACT
We present a new ultra-tightly coupled (UTC) integration architecture of a micro-electromechanical inertial measurement unit (MIMU) and global navigation satellite system (GNSS) to reduce the performance degradation caused by abrupt changes of frequency tracking errors. A large frequency error will lead to a decrease in the carrier-to-noise ratio (C/N0) estimate and an increase in the code discriminator estimation error. The disruptive effects of frequency errors on the estimation of C/N0 and on the code discriminator are quantitatively evaluated via theoretical analyses and Monte Carlo simulations. The new MIMU/GNSS UTC architecture introduces a large frequency error detector and a refined frequency processor based on a retuned frequency in each tracking channel. In addition, an adaptive channel prefilter with multiple fading factors is introduced as an alternate to the conventional prefilter. Numerical simulations based on a highly dynamic trajectory are used to assess performance. The simulation results show that when there is an abrupt step change in the frequency tracking error, the new UTC architecture can effectively suppress the divergence of navigation solutions and the loss of tracking lock, and can significantly reduce the deviation of the C/N0 estimation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article