基於聲音抵達時間差之定位研究

Study Sound Source Localization Based on TDOA

林宏(Ling, Hung.)

指導教授 ： 施能義

亞洲大學/資訊學院/資訊工程學系碩士班/碩士(2009年)

摘要

近年科技日新月異，許多機械與人之間的介面也需要更精確且方便的情況，其中之一的就是麥克風感應聲源的位置。
本研究應用麥克風陣列進行聲音之聲源定位，利用交互相關函數演算法找出聲音抵達麥克風延遲時間，聲源定位即利用TDOA雙曲線定位以及TDOA類神經網路定位，經MATLAB進行模擬分析，證明本論文研究方法之可行性，並提供未來聲源定位應用之發明技術研究一參考。

關鍵字

交互相關函數 ； TDOA ； 雙曲線 ； 類神經網路

並列摘要

Science and technology change with each passing day in recent years. The interface needs more accurate and convenient between machine and people, one of them used the microphone that respond to location of the sound source.
This research used Microphone array to find the TDOA of sound source localization on Cross Correlation function. There are two methods of sound source localization. First kind of method is using TDOA on hyperbola. The other is using TDOA on neural network. The research perform simulation with MATLAB. Based on the simulation results ,the prove the feasibility of the research. And offer a reference of technical research in the future.

並列關鍵字

Cross Correlation function ； TDOA ； hyperbola ； neural network

參考文獻

[16] 羅華強，”類神經網路-MATLAB的應用”，清蔚科技股份有限公司，民國90年。

[2] Barry D. Van Vee and Kevin M.Buckley, ”Beamforming:A Versatile Approach to Spatial Filtering,” IEEE ASSP MAGAZINE, April 1998.

[3] Byung-Chul Kim and I-Tai Lu, ”High resolution broadband beam- forming based on the MVDR method,” OCEANS 2000 MTS/IEEE Conference and Exhibition, Vol. 3 , pp. 1673 - 676, 2000.

[4] Pillai S. Unnikrishna, Array signal processing, 1989.

[8] Odendaal J. W., E. Barnard and C. W. I Pistorius., “Two-Dimensional Superresolution Radar Imaging Using the MUSIC Algorithm,” IEEE Trans. On Antennas and Propagation , Vol. 42, pp. 1386 – 1391, 1994.