| Author: | Zhao, Jingyuan |
| Title: | Sound source localization and identification by array microphone |
| Advisors: | Choy, Yat Sze (ME) |
| Degree: | M.Sc. |
| Year: | 2020 |
| Subject: | Beamforming Microphone arrays Signal processing Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Mechanical Engineering |
| Pages: | xiii, 99 pages : color illustrations |
| Language: | English |
| Abstract: | The need to locate a specific sound source exists in many industries. Beamforming technology has been applied in various scenes due to its excellent performance. The most basic beamforming algorithm is the DAS algorithm. On this basis, many optimization algorithms are proposed, including LCMV algorithm, MUSIC algorithm and so on. At the same time, the influence of microphone array on beamforming is gradually discovered, and various optimization methods of microphone array are proposed. For the high-speed moving sound source, the optimized beamforming technology can also be used to identify the real-time position of the sound source. This technology is widely used to detect the noise source of trains and airplanes, so as to reduce the noise generated during the high-speed movement. In this paper, some beamforming algorithms are studied and simulated, the effect of different conditions on the performance of beamforming is discussed. Next, the experiment of sound source localization is carried out to verify these algorithms in practice. Then, a system for measuring moving sound source is built, including a camera for speed measurement and a microphone array for collecting sound signal, and the feasibility of this system is verified by experiments. Finally, after the actual positioning experiments on the MTR train, some improved schemes for the microphone array are proposed. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5236.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 5.99 MB | Adobe PDF | View/Open |
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