Deep learning of gnss acquisition

HIGHLIGHTS

• who: Parisa Borhani-Darian and collaborators from the Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA have published the article: Deep Learning of GNSS Acquisition, in the Journal: Sensors 2023, 23, 1566. of /2023/
• what: The article shows how noncoherent integration schemes are enabled through optimal data fusion with the goal of increasing the resulting classifier accuracy. The article provides simulation results showing that the proposed data-driven method outperforms current CAF maximization strategies enabling enhanced acquisition at medium-to-high carrier-to-noise density ratios. The work proposed to use deep . . .
  

   

  

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