Optimal Particle Filter Weight for Bayesian Direct Position Estimation in a GNSS Receiver

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 8; p. 2736
• Main Authors: Dampf, Jürgen, Frankl, Kathrin, Pany, Thomas
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 20.08.2018; MDPI
• Subjects: Algorithms; Bayesian analysis; Bayesian direct position estimation; BDPE; Binary phase shift keying; Computer simulation; Correlation analysis; Estimates; GNSS; Navigation satellites; Nonlinear filters; optimal particle weight; particle filter; Probability density functions; Range errors; Satellites; Sensors; Signal processing; software receiver; Software upgrading; Urban areas; United States > US; Germany; Spain; BDPE; optimal particle weight; particle filter; software receiver; GNSS; Bayesian direct position estimation

Direct Position Estimation (DPE) is a rather new Global Navigation Satellite System (GNSS) technique to estimate the user position, velocity and time (PVT) directly from correlation values of the received GNSS signal with receiver internal replica signals. If combined with Bayesian nonlinear filters...