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Research On Sonar Detection Range Prediction Based On Database

Posted on:2019-05-06Degree:MasterType:Thesis
Country:ChinaCandidate:W Y ZhuFull Text:PDF
GTID:2370330548987324Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
Sonar using the propagation characteristics of sound waves in the sea to detect and identify underwater targets,is considered as the eyes and ears of underwater equipment.The range of sonar action is an important index to measure the performance of sonar,so the prediction of sonar range is of great value and significance.The traditional method of sonar range prediction is generally aimed at the uniform hydrology and typical seafloor sediments to simulate.However,the uncertainty of the marine environment and the small scale change of the seabed parameters will lead to the calculation error of the propagation loss and bring the error to the range estimation.In order to solve the problem of inaccurate prediction of the range of passive sonar due to ocean uncertainties and other environmental factors,a method of calculating similar hydrological propagation losses by using effective test data is presented in this paper.Firstly,get the characteristic parameters of great influence on the transmission loss obtained by the simulation analysis on the sea bottom geoacoustic parameters and objective environmental factors,and then build the knowledge base based on this,which contains the sound velocity profiles,bottom geoacoustic parameters,time,location,depth of sonar,sonar range and so on.Meanwhile the knowledge base contains characteristic points of the sound velocity profile,algebraic coding and correction value of transmission loss.Then,input hydrology should be preprocessed to get the alphabetic code representing the shape of the sound velocity profile and the piecewise influence factor representing the influence degree of each hydrological change on the transmission loss.Traverse the knowledge base to find the hydrology which is similar to the input hydrological alphabet code,and then quantitatively calculate the matching degree between input hydrology and the similar hydrology in the knowledge base.Finally,calculate the transmission loss of the input hydrology using highly matching hydrology in the knowledge base,at the meantime,design a embedded application software based on Reworks system.If there is a hydrology in the knowledge base where the matching degree is higher than the threshold,use the corrected value of such hydrology to auxiliary calculate the transmission loss of input hydrology.If not,calculate of the transmission loss of input hydrology by conventional method,and then substitute the transmission loss into sonar equation to predict the sonar range.The simulation of the data and measured data provided by the Argo real time data center shows that the method proposed in this paper based on knowledge base matching for sonar range prediction is better than the conventional method.
Keywords/Search Tags:Ocean uncertainty, Hydrological knowledge base, Transmission loss correction, Syntactic recognition
PDF Full Text Request
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