Name
Abstract | ||
|---|---|---|
In extended/group target tracking, where the extensions of the targets are estimated, target spawning and combination events might have significant implications on the extensions. This paper investigates target spawning and combination events for the case that the target extensions are modeled in a random matrix framework. The paper proposes functions that should be provided by the tracking filter in such a scenario. The results, which are obtained by a gamma Gaussian inverse Wishart implementation of an extended target probability hypothesis density filter, confirms that the proposed functions improve the performance of the tracking filter for spawning and combination events. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSP.2012.2230171 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Gaussian processes,filtering theory,matrix algebra,probability,random processes,target tracking,combination event,extended target probability hypothesis density filter,extended target tracking,gamma Gaussian inverse Wishart implementation,group target tracking,random matrix framework,target spawning,tracking filter,Extended target,Kullback-Leibler divergence,random matrix,target combination,target spawning | Matrix algebra,Gaussian process,Artificial intelligence,Probability hypothesis density filter,Mathematical optimization,Pattern recognition,Stochastic process,Algorithm,Gaussian,Filtering theory,Inverse-Wishart distribution,Mathematics,Random matrix | Journal |
Volume | Issue | ISSN |
61 | 3 | 1053-587X |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karl Granström | 1 | 356 | 24.53 |
| Umut Orguner | 2 | 548 | 40.11 |