Name
Abstract | ||
|---|---|---|
In this paper, we consider the distributed target detection problem in Gaussian clutter with unknown covariance matrix. By exploiting the persymmetry of the covariance matrix, an adaptive detector is proposed according to the two-step design method. The probabilities of detection and false alarm of the proposed detector are derived in closed form, which are verified through Monte Carlo simulations... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TSP.2018.2887405 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Detectors,Covariance matrices,Object detection,Clutter,Training data,Symmetric matrices,Doppler effect | Object detection,Monte Carlo method,False alarm,Clutter,Control theory,Algorithm,Symmetric matrix,Gaussian,Covariance matrix,Constant false alarm rate,Mathematics | Journal |
Volume | Issue | ISSN |
67 | 4 | 1053-587X |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Liu | 1 | 330 | 36.42 |
| Weijian Liu | 2 | 293 | 35.82 |
| Bo Tang | 3 | 25 | 8.85 |
| Jibin Zheng | 4 | 131 | 12.74 |
| Shu-Wen Xu | 5 | 5 | 2.13 |