本論文探討以聲線理論(Ray Theory)為基礎的淺海水聲被動定位法。運用聲線理論建立水下聲通道(channel)數學模型，分析接收器所接收到的物理量(傳遞時間與到達角度)，利用類神經網路解析連結聲源與接收器之間聲線物理量之相互關係，以達到求解未知聲源位置的目的。本論文與泛用的簡正波理論的被動定位方法比較，聲線被動定位方法實現簡便，運算量小，而且定位性能對環境參數較不敏感，因而具有實務應用價值。本論文探討聲線理論應用於淺海外，並應用類神經方法達到聲源模擬與定位的架構，配合非訓練數據集的新聲源點進行模擬，以驗證本論文定位方法與流程之正確性與可靠性。

　　The thesis presents a method of passive localization for shallow water acoustic sources based on Ray acoustic theory. Ray acoustic theory is used to establish underwater acoustic channel and to analyze physical quantities (arrival time and arrival angle) received by sensors, and to determine mutual relationship of rays between sources and receivers by using artificial neural network for source localization. This Ray-acoustic based method of passive localization features its simplicity, less calculation, and robust performance to environment variations, as compared with those methods based on Normal Mode theory. Hence, the method is more practicable and more valuable for source localization. In this study, the Ray-acoustic based method of passive localization is not only used in shallow water, but it is also verified by using a non-trained source to proof its accuracy and reliability.

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