Name
Abstract | ||
|---|---|---|
In this paper, a nonsimulation performance prediction-based PDAF with Bayesian detection (BD) is proposed where the parameter in detection is dynamically optimized in a tracker-aware manner. The theoretical analysis and simulation results show that the dynamic PDAF-BD always outperforms the PDAF-BD with fixed thresholds and can be better than the dynamic PDAF when the spatial density of detection ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TAES.2016.150176 | IEEE Transactions on Aerospace and Electronic Systems |
Keywords | Field | DocType |
Bayes methods,Target tracking,Heuristic algorithms,Optimization,Detectors,Covariance matrices,Spatial resolution | Spatial density,Pattern recognition,Computer science,Artificial intelligence,Sampling (statistics),Performance prediction,Image resolution,Detector,Bayesian probability | Journal |
Volume | Issue | ISSN |
52 | 4 | 0018-9251 |
Citations | PageRank | References |
1 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Le Zheng | 1 | 84 | 9.88 |
| Tao Zeng | 2 | 120 | 25.21 |
| Quanhua Liu | 3 | 40 | 12.64 |
| Teng Long | 4 | 387 | 61.41 |
| Xiaodong Wang | 5 | 3958 | 310.41 |