A Study on Dispersion Law of Underwater Threat based on Monte Carlo Algorithm
Shufen LIU, Ji HOU, Lu HAN
Available Online July 2017.
- 10.2991/eia-17.2017.41How to use a DOI?
- monte carlo; analysis of underwater target distribution; probability density of underwater target position distribution
At present, it is impossible to detect the underwater target accurately found at a distance by equipment such as multi-sonars due to the limitation of underwater target detection technology. A method using Monte Carlo algorithm to confirm the dispersion law of underwater threat according to the target motion elements is presented. Combined with the probability theory, probability density of underwater threat locating is calculated. Finally, the distribution law of the typical situation is simulated, and the simulation results show that the profile of probability density distribution of the threat is consistent with the result of the threat distribution law.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shufen LIU AU - Ji HOU AU - Lu HAN PY - 2017/07 DA - 2017/07 TI - A Study on Dispersion Law of Underwater Threat based on Monte Carlo Algorithm BT - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017) PB - Atlantis Press SP - 191 EP - 193 SN - 1951-6851 UR - https://doi.org/10.2991/eia-17.2017.41 DO - 10.2991/eia-17.2017.41 ID - LIU2017/07 ER -