Name
Abstract | ||
|---|---|---|
This letter addresses the detection of a subspace distributed target signal obscured by disturbance. The disturbance consists of a clutter component with an unknown subspace structure and a white noise component with unknown noise power. A detection strategy is proposed based on the volume cross-correlation function, which provides a metric that measures the linear (in) dependency between two subs... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2875565 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Object detection,Detectors,Covariance matrices,Radar tracking,Eigenvalues and eigenfunctions | Radar,Object detection,Noise power,Pattern recognition,Subspace topology,Clutter,A priori and a posteriori,Linear subspace,White noise,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
25 | 12 | 1070-9908 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Le Xiao | 1 | 3 | 1.04 |
| Hongbin Li | 2 | 1412 | 114.60 |
| Yimin Liu | 3 | 158 | 25.46 |
| Xiqin Wang | 4 | 290 | 33.88 |