Name
Abstract | ||
|---|---|---|
This paper presents a Gaussian-mixture (GM) implementation of the probability hypothesis density (PHD) filter for tracking extended targets. The exact filter requires processing of all possible measurement set partitions, which is generally infeasible to implement. A method is proposed for limiting the number of considered partitions and possible alternatives are discussed. The implementation is u... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TAES.2012.6324703 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Target tracking,Radar tracking,Time measurement,Clutter,Approximation methods,Robot sensing systems | Signal processing,Radar tracker,Computer science,Clutter,Control theory,Tracking system,Gaussian,Gaussian process,Low probability of intercept radar,Limiting | Journal |
Volume | Issue | ISSN |
48 | 4 | 0018-9251 |
Citations | PageRank | References |
50 | 1.77 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karl Granström | 1 | 356 | 24.53 |
| Christian Lundquist | 2 | 203 | 11.52 |
| Umut Orguner | 3 | 548 | 40.11 |