Implementation of acoustic source localization on smart devices

• Main Author: Chen, XiaoYu
• Other Authors: School of Electrical and Electronic Engineering
• Format: Final Year Project
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/61421
• Institution: Nanyang Technological University

Acoustic source localization (ASL) estimates the sound source position by processing the signal obtained from spatial distinct microphones. Implemented ASL in Java program, this project produces a RaspberryPi (RPi) toy car for dog exercise. An Android-based application is also developed to control the car direction. Two approaches of ASL, TDOA approach and beamforming approach, have been taken to acquire a better result. Beamforming are used in the final product as it is simpler, faster and does not require the knowledge of initial source direction. This project is done by three members. The software development and the microphone part of hardware are done by the author, which will be elaborated in detail in the following chapters.