e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Data Fusion in Underwater Environment
Authors : K.Lakshmi Prasanna, S.Koteswara Rao, B.Omkar Lakshmi Jagan, A.Jawahar, Sk.B.Karishma
Keywords : Kalman Filter, Target Tracking, Data Fusion,sensor,simulation,estimation.
Issue Date : Feb-Mar 2016
Abstract :
Submarines and Ships of this time are furnished with multi sensors (structure mounted array, towed array and so forth.,) making them contemporary in following multi focuses in submerged environment. This paper elucidates Data Fusion calculations, taking into account multi-sensor target information of stages in the arrangement adrift. Two-dimensional following is grasped utilizing Modified Gain Bearings just Extended Kalman Filter in each accessible channel. In this methodology, every sensor utilizes one estimator to remove a state vector and its related covariance grid from its separate sensor estimations. Every channel yield is transmitted over an information connection to combination focus, where track-to-track relationship and state vector combination are performed following composite target state vector. Sonar information Pre-handling diminishs the clamor adequacy, gets difference of the uproarious information, embeds missed heading with evaluated direction and gives assessed orientation if there should arise an occurrence of missed or erroneous bearing estimations.
Page(s) : 225-234
ISSN : 0975-4024
Source : Vol. 8, No.1