| Autor: |
Hong ZHANG, Mingkai XIAO |
| Jazyk: |
čínština |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
水下无人系统学报, Vol 31, Iss 3, Pp 451-456 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2096-3920 |
| DOI: |
10.11993/j.issn.2096-3920.2023-0019 |
| Popis: |
Existing shipborne sonar or tow array sonar might influence the effectiveness of torpedo countermeasures, compromising torpedo localization information during torpedo alarming. To address this problem, a joint target localization method is proposed for incoming torpedoes. First, a preprocessing method based on local weighted linear regression is investigated to resolve issues such as large error and outliers in the bearing estimation information of incoming torpedoes. This method can be used to lower the localization error by improving the torpedo bearing estimation accuracy. In combination with typical torpedo attacking trajectory analysis, a target state solution model is then established using a Kalman filtering algorithm. A space-time correlation algorithm is used for solving the problem caused by unsynchronized underwater acoustic signals and delayed information processing. Finally, a robust joint localization approach for shipborne sonar is established. This approach has reasonably wide applications, such as in torpedo defense capacity reinforcement of warship joint combat command systems and security assurance for warships. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
