Bayesian EM approach for GNSS parameters of interest estimation under constant modulus interference.
Julien LesoupleLorenzo OrtegaPublished in: EURASIP J. Adv. Signal Process. (2024)
Keyphrases
- maximum likelihood
- parameter estimation
- expectation maximization
- maximum likelihood estimation
- log likelihood function
- em algorithm
- markov random field prior
- likelihood function
- bayesian estimation
- probabilistic model
- bayesian learning
- expectation maximisation
- parameter estimates
- posterior distribution
- multipath
- parameter values
- closed form solutions
- maximum likelihood estimator
- maximum likelihood estimates
- density estimation
- estimation algorithm
- variational bayesian
- bayesian methods
- mixture model
- angular velocity
- bayesian networks
- gaussian processes
- estimation process
- estimation accuracy
- learning algorithm
- parameter settings
- gaussian mixture model
- least squares
- image segmentation