Name
Abstract | ||
|---|---|---|
This paper proposes a novel algorithm for target tracking with direction-of-arrival measurements, modeled by von Mises-Fisher distributions. The algorithm makes use of the assumed density framework with Gaussian distributions, in which the posterior probability density of the target state is approximated by a Gaussian density. A key component of this algorithm is that the proposed Bayesian model o... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2019.2911258 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Target tracking,Bayes methods,Kalman filters,Current measurement,Approximation algorithms,Signal processing algorithms,Azimuth | Approximation algorithm,Mathematical optimization,Bayesian inference,Direction of arrival,Algorithm,Kalman filter,Posterior probability,Gaussian,Von Mises–Fisher distribution,Mathematics,Taylor series | Journal |
Volume | Issue | ISSN |
67 | 11 | 1053-587X |
Citations | PageRank | References |
3 | 0.42 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angel F. Garcia-Fernandez | 1 | 131 | 18.15 |
| Filip Tronarp | 2 | 8 | 5.65 |
| Simo Särkkä | 3 | 623 | 66.52 |