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gnss-signals

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This exercise focuses on processing Global Navigation Satellite Systems (GNSS) data, particularly emphasizing double differences (DD) and cycle slip detection. The dataset provided represents a static GPS measurement campaign conducted in a densely populated urban environment, comprising five stations labeled HH01 to HH05.

  • Updated Mar 16, 2024
  • MATLAB

Real-time AI-powered system delivering centimeter-level GPS corrections to autonomous vehicles via ATSC 3.0 broadcast, maintaining sub 3m accuracy. Built for ITU Build-a-thon 4.0 using open-source tools (RTKLIB, etc) with RTK positioning, FEC encoding, OFDM modulation, and neural network optimization. Demonstrating AINN SDG 9 & 11.

  • Updated Feb 25, 2026
  • Python

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