Search model based on Kalman Filter and Monte Carlo simulation.

ABSTRACT: In the search and rescue operation of the submersible, to better search for the missing or faulty submersible, taking the marine environment simulated by the HYCOM model as the sample, it is necessary to use the Kalman filter model to predict the time location of the submersible and provide information support for the follow-up search and rescue operations according to the position information transmitted to the main ship when the submersible is running normally. Monte Carlo simulation is used to quantitatively analyze the probability of the possible area of the submersible in four possible cases after the fault, to obtain the location of the initial search deployment point, that is, the minimum plane projection area of the covering sample. Python software was used to quantitatively analyz

SUBMITTER: Liu J 

PROVIDER: S-EPMC12904576 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature