Abstract | ||
---|---|---|
•The detector is designed in the novel generalized Pareto clutter without secondary data.•The priori knowledge is utilized and a knowledge-based detector is constructed.•We consider that the inverse covariance matrix of speckle is a combination of multiple a-priori spectral models. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.sigpro.2017.08.023 | Signal Processing |
Keywords | Field | DocType |
Generalized Pareto clutter,Non-Gaussian characteristic,A-priori knowledge,Multiple a-priori spectral models | Radar,Mathematical optimization,Speckle pattern,Likelihood-ratio test,Clutter,Generalized Pareto distribution,Constant false alarm rate,Detector,Inverse-gamma distribution,Mathematics | Journal |
Volume | Issue | ISSN |
143 | C | 0165-1684 |
Citations | PageRank | References |
1 | 0.35 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian Xue | 1 | 68 | 9.87 |
Shu-Wen Xu | 2 | 5 | 2.13 |
Peng-Lang Shui | 3 | 325 | 33.67 |