GPS fast constellation selection based on 3-SAT subset

Guo Ping Huo, Ling Juan Miao*, Zhi Feng Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

A fast constellation selection method named '3-SAT subset' is presented for reducing the large amount of computation when a sudden change occurs in the sky view in high-accuracy GPS navigation system. The GDOP (Geometric Dilution of Precision) recursive formula is deduced by use of the Sherman-Morrison formula to reduce matrix inversion operation. Moreover, efficient storage and search strategy of LLRB-Tree (Left Leaning Red-Black Tree) algorithm is used to assist rapid creation of optimal 4-SAT combinations and get the minimal GDOP. With respect to the traditional GDOP constellation selection, the amount of floating-point operations per second (FLOPs) can be reduced by more than half when the number of visualization satellites increases, and almost equals 0 when the number decreases. The experimental results show that, 3-SAT subset method can effectively reduce the time consumption at the mutation of constellations and improve the real-time performance accordingly.

Original languageEnglish
Pages (from-to)574-580
Number of pages7
JournalYuhang Xuebao/Journal of Astronautics
Volume35
Issue number5
DOIs
Publication statusPublished - May 2014

Keywords

  • Constellation selection
  • FLOPs
  • GDOP
  • LLRB-Tree

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