Localization of underwater objects has always been a challenging task due to the unguided and misty nature of the underwater environment. Therefore, in this paper, a novel algorithm has been proposed to find the correct location of various underwater objects in real-time underwater communication networks. The proposed algorithm is based on collective utilization of gravity field vector and gravity gradient tensor signals for object localization. It computes the localization of numerous underwater objects in a non-linear scenario by utilizing modified Levenberg-Marquardt algorithm. The study uses single-object localization scenario to carry out estimation of the initial coordinates and mass calculation of the underwater objects. In order to validate the proposed algorithm, two objects based artificial navigation model has been used for testing purpose. The results obtained were precise and accurate, hence, the proposed method is a good strategy to localize multiple underwater objects.
|Original language||English (US)|
|Title of host publication||2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|State||Published - Jan 9 2019|