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摘要声源定位技术一直以来都备受关注，基于声源定位技术的科学成果也一直在改变人类生活习惯，促进科学事业发展中扮演着越来越重要的角色。在这方面，传感器技术、探测技术、微电子技术、信号处理技术以及人工智能技术的飞速发展，均为声源探测技术用于直升机等军事目标的定位、跟踪和识别开辟了新的应用前景。同时，基于声测技术的工业产品和生活产品也都在相关行业显示出了巨大的优势和市场潜力。30471
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本文首先归纳介绍了网络声源定位技术中三种常用的声源测向算法，分别是基于最大输出功率的可控波束形成方法，基于高分辨率谱估计技术方法，以及基于时延估计方法。针对基于时延估计的声源测向算法，我们构建了基于两个双麦克风阵列的远场多声源定位场景来进行分析。在此场景中，本文首先基于语音信号时频正交特性的退化分离估计技术(DUET)实现多声源测向，这种技术利用了语音信号特有的时频稀疏和短时正交特性W-Disjoint Orthogonality(W-DO)。基于此特性的时延估计算法计算量小，容易实现，仅仅使用两个麦克风阵列就可以实现多个声源的方位测定。然后针对实际多声源定位过程中产生的交叉点模糊问题，本文研究了基于时频屏蔽矩阵相关度匹配的解交叉点模糊方法，并且进行了仿真实验。实验结果表明：该方法能够比较有效地解决交叉点定位模糊问题，而且计算复杂度较低，具有一定的实际应用价值。
毕业论文关键词：麦克风阵列 多源测向 时延估计 交叉点模糊 时频屏蔽
毕业设计说明书外文摘要
Title Research for methods to solving the ambiguity of Concurrent multiple speech sources DOA positioning
Abstract
Much attention has been paid to the sound source localization technology . and It plays a more and more important role in promoting scientific development. In terms or this, the use of sensor technology, detection technology, microelectronics, signal processing technology and artificial intelligence technology, have opened up a new prospect for speech source detection technology in helicopters , military targets positioning about tracking and recogning. At the same time, products based on the acoustic detection technology in industry or life related show the advantages and a huge potential market.
This paper discussed the sound source localization technologys which based on the method of sensor network localization technology. And emphatically analyzed one of the most common algorithm of them, namely source direction finding algorithm based on time delay estimation. Sensor network localization technology takes a great proportion in practical application field, with its advantages on small amount of calculation, more suitable for real-time processing. In order to analyze and improve the positioning method .we build a classic study scenarios with double sensor array. method based on speech signal time-frequency orthogonal characteristics and the degradation of separation of estimation technology (DUET) is applied to finding speech signal direction. To solve the problem of intersection ambiguity, this article puts forward a solution based on the correlation matching of the time-frequency mask. An experiment Based on this method to for the specified scene was carried out. The experimental results show that: method proposed in this paper is useful, and has low computing complexity.
KeyWords：Microphone array, Multiple source localization, Time delay estimation , Intersection ambiguity , Time-frequency mask
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