Name
Abstract | ||
|---|---|---|
A new knowledge-aided Wald detector is proposed in this paper to deal with the target detection under the inhomogeneous sea clutter. Aim to the scenario of dynamic sea clutter, the proposed detector updates the covariance matrix of background by comprehensive use of the prior information matrix and the covariance matrix. At the same time, the morphological processing is introduced to obtain the final detection result. The experimental results show that the proposed knowledge-aided Wald detector can achieve better detection performance than KA-Wald detector under the inhomogeneous sea clutter. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCAIS46528.2019.9074701 | 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) |
Keywords | DocType | ISSN |
knowledge-aided,sea clutter,target detection | Conference | 2475-790X |
ISBN | Citations | PageRank |
978-1-7281-2312-7 | 0 | 0.34 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yisong Zhang | 1 | 0 | 0.34 |
| Wenguang Wang | 2 | 117 | 12.39 |
| Nan Wang | 3 | 93 | 27.47 |
| Jihuang Yang | 4 | 0 | 0.34 |