Pillar lead: Bing Xu
Reliable navigation starts before position estimation. Many urban GNSS failures begin at the receiver level — weak signals, distorted correlation peaks, multipath, NLOS reception, Doppler inconsistency, poor tracking — none of which a downstream estimator can fully recover.
We study receiver-level algorithms that turn weak, distorted signals into usable measurements, likelihoods, and uncertainty models — software-defined receivers, vector tracking, acquisition/tracking, GPS L1/L5 processing, direct position estimation, correlator-level features, and C/N0 assessment in urban, vegetated, and high-dynamic environments.
This is the foundation IPNL has built since Prof. Hsu’s PhD work, anchored by the open-source GPS_VT_SDR MATLAB vector-tracking receiver hosted on the NOAA GPS Toolbox.