Name
Title | ||
|---|---|---|
A Bayesian Technique for Real and Integer Parameters Estimation in Linear Models and Its Application to GNSS High Precision Positioning |
Abstract | ||
|---|---|---|
A novel Bayesian technique for the joint estimation of real and integer parameters in a linear measurement model is presented. The integer parameters take values on a finite set, and the real ones are assumed to be a Gaussian random vector. The posterior distribution of these parameters is sequentially determined as new measurements are incorporated. This is a mixed distribution with a Gaussian co... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TSP.2015.2500195 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Bayes methods,Estimation,Global Positioning System,Time measurement,Receivers,Covariance matrices,Kinematics | Mathematical optimization,Linear model,Minimum mean square error,Posterior probability,Multivariate random variable,Gaussian,Ambiguity resolution,Maximum a posteriori estimation,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
64 | 4 | 1053-587X |
Citations | PageRank | References |
2 | 0.72 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| javier g garcia | 1 | 2 | 1.40 |
| pedro a roncagliolo | 2 | 2 | 1.40 |
| C. Muravchik | 3 | 543 | 68.59 |