A Marginalized Likelihood Ratio Approach for detecting and estimating multipath biases on GNSS measurements. - Cheng Cheng 016; Jean-Yves Tourneret; Quan Pan 001; Vincent Calmettes (FUSION, 2014)

A maximum likelihood-based unscented Kalman filter for multipath mitigation in a multi-correlator based GNSS receiver. - Cheng Cheng 016; Quan Pan 001; Vincent Calmettes; Jean-Yves Tourneret (ICASSP, 2016)

Detecting, estimating and correcting multipath biases affecting GNSS signals using a marginalized likelihood ratio-based method. - Cheng Cheng 016; Jean-Yves Tourneret; Quan Pan 001; Vincent Calmettes (Signal Process., 2016)

A kernel density-based particle filter for state and time-varying parameter estimation in nonlinear state-space models. - Cheng Cheng 016; Jean-Yves Tourneret (EUSIPCO, 2017)

An EM-based multipath interference mitigation in GNSS receivers. - Cheng Cheng 016; Jean-Yves Tourneret (Signal Process., 2019)

A Rao-Blackwellized Particle Filter With Variational Inference for State Estimation With Measurement Model Uncertainties. - Cheng Cheng 016; Jean-Yves Tourneret; Xiaodong Lu (IEEE Access, 2020)

A variational marginalized particle filter for jump Markov nonlinear systems with unknown transition probabilities. - Cheng Cheng 016; Jean-Yves Tourneret (Signal Process., 2021)

Auxiliary Particle Filtering with Variational Inference for Jump Markov Systems with Unknown Measurement Noise Covariance. - Cheng Cheng 016; Sinan Yildirim; Jean-Yves Tourneret (EUSIPCO, 2024)

A variational Bayesian marginalized particle filter for jump Markov nonlinear systems with unknown measurement noise parameters. - Cheng Cheng 016; Jean-Yves Tourneret; Sinan Yildirim (Signal Process., 2025)