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Research On Acoustic Source Localization Based On Dual-Microphone Smartphones

Posted on:2020-05-24Degree:MasterType:Thesis
Country:ChinaCandidate:X ZhouFull Text:PDF
GTID:2428330596982439Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Acoustic source localization research has a long history and has been widely used in various fields.With the development of wireless sensor networks and popularity of portable device,acoustic source localization has broader space for technological development.At present,existing acoustic source localization systems require clock synchronization and accurate measurement with disadvantages of high cost and small localization range.Aiming at these problems,this paper designs a novel acoustic source localization scheme and implements the localization system through actual programming development.First,the phones with dual-microphone are used as sensors to collect sound signal,the signal is cleaned by filtering and weighting the moving average method,and the effective sounding part is extracted by variance characteristic.Then,we design an acoustic source localization framework based on dual-microphone smartphones,using Generalized Cross Correlation(GCC)to calculate the Time Difference of Arrival(TDOA)of the sound reaching the two microphones of each mobile phone,without clock synchronization and accurate measurement values.We design constrained condition to filter and quantify data.We introduce hamming distance,weighted probabilistic and gradient descent to analysis the question and propose a centralized acoustic source localization algorithm based on the combine of space division and TDOA and the distributed localization algorithm based on symmetric jumping,which have the characteristics of low cost,high efficiency and long range of positioning.Finally,we design and implement an archetype positioning system on the Android and personal computer sides.Through simulation experiments,we test the positioning performance of the positioning method under a variety of different error conditions,and compare the experimental results with existing Sequence-Based Localization algorithm(SBL)and Probabilistic Cutting Method algorithm(PCM).Experimental results show that the positioning scheme has certain advantages in accuracy and robustness.We conduct actual test experiments in different indoor and outdoor environments,and record the error values of the sound source at different positions.The results proved the feasibility of the system.
Keywords/Search Tags:Acoustic Source Localization, Wireless Sensor Networks, Space Division
PDF Full Text Request
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