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Research Of Real-time Acoustic Imaging Array Positioning Technology

Posted on:2014-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:L Z YuFull Text:PDF
GTID:2268330401990650Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Accurate and fast localization of multiple sources is an important issue in manyapplications such as fault diagnosis and noise control.Acoustic imaging arraypositioning technology can effectively solve this problem. Acoustic imaging arraypositioning technology can locate sound sources through phase difference of acousticwave to each of the microphone within the measurement space. It can display soundfield distribution in the form of nephogram to locate sound sources intuitively.Someof the key issues in acoustic imaging array positioning technology are studied asfollows:First of all, performance of sound source localization algorithm that commonlyused in practical applications are analyzed based on the array model and signalmodel.Steered response power algorithm is selected as a follow-up paralleloptimization algorithm for its robustness and anti-reverberation.Then basic concepts of CUDA(Compute Unified Device Architecture) areintroduced, and then task decomposition and thread mapping are done for steeredresponse power algorithm. Finally steered response power algorithm is implementedbased on GPU with CUDA. Simulation results show that computing efficiency ofGPU-based steered response power algorithm is about20times higher thanCPU-based steered response power algorithm.Then requirements analysis of acoustic imaging software system are done,software system is divided into two modules.One is online analysis moduleļ¼Œthe otheris the offline analysis module. There are many parts in the online analysis module,such as data acquisition module, video capture module, and audio and video overlaymodule. Also there are many parts in the Offline analysis module, such as audio andvideo read module, audio and video matching module, and audio and video overlaymodule. Software interface is designed with unified and simple to use principles toachieve a good human-computer interaction.Finally, Experimental analysis are done in semi-anechoic chamber with acousticimaging array system, mainly about system positioning effects on static sound source,transient sound source, moving sound source. Experiments of sound sourcelocalization project are also done to verify the effectiveness of the system in thepractical application of sound source localization.
Keywords/Search Tags:Sound source localization, GPU, CUDA, Steered response power algorithm, Acoustic imaging
PDF Full Text Request
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