Name
Abstract | ||
|---|---|---|
Ocean current is one of the important components in the Ocean state monitoring, which can be measured by ocean acoustic technology. This paper studies the inference of current filed. Based on least squared (LS) method, we can estimate the current filed with travel time. However, this method is suffered from perturbation from noise, and also requires prior information which is hard to obtain. In this paper, the maximum entropy (MaxEnt) method is proposed to reconstruct the ocean current filed more precisely. To adopt MaxEnt method, we introduce radial basis functions (RBFs) as basis functions to reconstruct a current field. In this paper, we compare the MaxEnt method with LS method by a series of simulations. We also process the experimental data in Zhitouyang Bay near Zhoushan Island, which proves that the MaxEnt method has a better performance than LS method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICSPCC.2017.8242449 | 2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) |
Keywords | DocType | ISBN |
ocean acoustic tomography,inference of current field,MaxEnt,RBFs | Conference | 978-1-5386-3143-0 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuai Shentu | 1 | 0 | 0.34 |
| Hang-Fang Zhao | 2 | 1 | 3.40 |
| Yuwei Wu | 3 | 0 | 0.34 |
| Xiaohua Zhu | 4 | 0 | 0.34 |