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Implementation of Outdoor Sound Source Localization System Using Sound Sensor Arrays

Fathi, Ehsan | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45164 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Gholampour, Eman; Sharif Khani, Mohammad
  7. Abstract:
  8. Sound source localization has been one of the fundamental problems in many areas, including radar, teleconferencing or videoconferencing, localization of earthquake epicenters and underground explosions, microphone arrays, robots, etc. All of sound source localization ideas are like human auditory system. The human auditory system is a complex and organic information processing system. It can feel the intensity and spatial orientation and other information of sound. The distance of the two ears on our head is about 20cm. When the sound reaches each ear, there are small time difference, intensity difference and phase difference. After analyzing these differences by the brain, the human can identify the direction of the sound source, and the angle accuracy is usually up to 5~15 degree. By microphones and signal processing we can localize the sound source. The signals received in the microphones have delays, the nearer the microphone to the sound source, the sooner and more intense the received signal will be. Based on these two clues, different algorithms have been proposed for sound source localization. Regarding to the importance of power consumption in these systems and necessity of sensitive and high performance microphones that can work in different climates are very expensive, we should have algorithms which use minimum number of microphones and low power consumption, while having high accuracy. For localizing such sound sources, a far-field assumption is usual to find direction of arrival )DOA( and then based on that, we can localize sound source. Most of the methods assume that the array and the source are in a same 2D plane, But this assumption would cause error in 3D location finding. In this thesis we propose and implement a high accuracy low computational cost 3D sound source localization algorithm that uses minimum number of microphones and has low sensitivity in different climates
  9. Keywords:
  10. Sound Source Localization ; Microphone Array ; Direction of Arrival (DOA)Estimation ; Far-Field Sound Source

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