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The Research Of Acoustic Vector Signals High Multiple Refinement Spectrum Analysis Method Under The Baffle Impact

Posted on:2011-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:G H ShaoFull Text:PDF
GTID:2132330332460325Subject:Underwater Acoustics
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In the practical applications,a single vector hydrophone has small size,light weight,easy laying and many other advantages,which help to save limited space of sonar carrier platform of ships. However,the installation platforms with the incident acoustic role will generate reflecting,scattering and other type interference acoustic waves, and impact measurement accuracy of each channel of the vector hydrophone,even result in total failure of target locating of vector hydrophone.Recent years, many national or overseas scholars have made deep study in acoutic characteristics of interference sources produced by different types of baffles . In this paper, the processing of underwater acoustic signals measured by singal vector hydrophone with flat baffle interference is the main content of this thesis, for the first time using a new optimization ZFFT algorithm to achieve high multiple spectrum refinement analysis method of their processing, greatly improve the frequency resolution of the signal spectrum analysis and computational speed, enhance the anti- baffle interference ability of vector hydrophone,summarize the correlation characteristics trend of each channel components measured by single vector hydrophone with the source frequency changing under the plane baffle interference, and calculate out the corresponding correlation quotient values for riching feature database of flat baffle interference,which have some theoretical and engineering significance.In this paper,firstly discribe the classical statistical concepts of correlation, deduce correlation functions and spectral density functions in signal processing field,and express their concrete significance in engineering applications;Through the description of acoustic vector,overview the correlation analysis technique based on vector hydrophone for vector acoustic signal processing .Secondly, according to the spectrum Thinning Algorithm in signal processing application background,derive the corresponding formulas of the Multiple Modulation ZOOM Spectrum analysis method, through the MATLAB algorithm simulation ,proof the spectral refinement effect of ZFFT and summarize its inherent limitations; propose to design a Multiple Analytical Band Pass Filter to overcome the shortcomings of traditional ZFFT methods and form a new optimal ZFFT algorithm. By computer simulation, verify the superiority of the new optimization ZFFT method.Finally, give the analysis results of Lake experiment data measured by a single vector hydrophone under the influence of flat baffle. Data processing results verify the accuracy and computing efficiency of optimized ZFFT method. Using the optimized ZFFT algorithm to realize high multiple spectrum refinement analysis of vector acoustic signal with baffle interference,give the figures of correlation characteristics trend and the corresponding correlation quotient values of measuring vector signals under flat baffle inference in 500 ~ 5000Hz acoustic source frequency band.
Keywords/Search Tags:Vector Hydrophone, Baffle, Optimization ZFFT, High Multiple Spectrum Refinement
PDF Full Text Request
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