空間聲源定位在現今社會中應用廣泛，工程師用聲源定位的方式找到機械噪音源的準確位置，從而移除或降低噪音的影響，本研究的內容是在數值模擬和實驗中，利用我們建立的聲源定位模型來即時算出各種聲源所在的位置，並在數值模擬中探討雙聲源的情形，我們也會在研究中探討影響實驗定位誤差的原因。在聲源定位中，三角定位法是較常使用的定位方法，三角定位法假設環境是在自由聲場，介質均勻而各方向性質都相同，聲波的傳播是向所有方向發射且沒有反射或邊界的影響，聲波是在固定的速度下直線傳播，在三角定位法中時間延遲量(TDOA,Time Difference of Arrival)是影響聲源定位的重要參數，因此本研究以計算量並不繁複且能及時定位的三角定位法來作聲源定位。研究第一階段是聲源定位法理論推導，建立起一套我們的聲源定位模型，第二階段是利用數值模擬的方式算出聲源的位置，第三階段為實驗設備的架構與建立說明。本研究的目標是建立一套能即時定位的聲源定位法來測得聲源位置。在數值模擬的部分我們達成這個目標，且能做到多聲源加入雜訊的聲源定位，而在實驗的部分，我們僅完成特定聲源的單聲源定位的目標，我們仔細探討發現時間延遲量是影響定位誤差關鍵的因素，而麥克風接收到訊號之間的波形必須非常接近，才能讓交相關得到的時間延遲量最為準確，因此麥克風接收到訊號之間的波形差異是影響實驗定位誤差的原因之一。

The content of this study uses a sound source localization model to instantly calculate the location of various sound sources in the numerical simulation and the experiment. In the numerical simulation, we discuss conditions of two sound sources and also explore the reasons which influence the experimental error in the research. In sound source localization, triangulation sound source localization is the most commonly used. In the triangulation method, TDOA(Time Difference of Arrival) is an important parameter affecting the localization. This study uses the triangulation method to do sound source localization. In the numerical simulation, we achieve this goal, and can do localization of multiple sources with added noise. In the experimental part, we complete the specific sound source of the single-source localization. We carefully explore and find that TDOA is the key factors affecting the error of the experiment. And the waveform received by the microphones must be very close to make the TDOA of cross-correlation most accurate. Therefore, the difference of the waveforms among microphones is one of the factors that affect the error of the experiment.

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