Lifting wavelet de-noising for SINS piece-wise fast alignment

Wei Xi Gao*, Ling Juan Miao, Mao Lin Ni

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A novel piece-wise fast alignment method for strapdown inertial navigation system (SINS) stationary alignment using lifting wavelet is presented. First, the fine horizontal alignment is executed. After the fine horizontal alignment, a lifting wavelet algorithm is utilized to de-noise the output of the gyros, and the azimuth mis-alignment angle is rapidly calculated. Theoretical analysis and practical experiment show that the lifting wavelet algorithm is effective to the de-noising of fiber optic gyro. Compared with the method using Kalman filter in the whole process of the alignment, this method has the same steady-state accuracy, but in the process of the fine azimuth alignment, the mechanical arrangement of SINS is not needed, and the time of fine alignment can be shortened to 30 s or so. This method makes up the defect that the convergence speed of the azimuth misalignment angle is slow, and accelerates the initial alignment process.

Original languageEnglish
Pages (from-to)1845-1849
Number of pages5
JournalXi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume33
Issue number8
DOIs
Publication statusPublished - Aug 2011

Keywords

  • De-noising
  • Initial alignment
  • Lifting wavelet
  • Piece-wise
  • Strapdown inertial navigation system (SINS)

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