Sound source signal location and tracking system based on STM32

Research Article
Open access

Sound source signal location and tracking system based on STM32

Xingcheng He 1*
  • 1 Hunan Agricultural University    
  • *corresponding author he18931915579@163.com
TNS Vol.5
ISSN (Print): 2753-8826
ISSN (Online): 2753-8818
ISBN (Print): 978-1-915371-53-9
ISBN (Online): 978-1-915371-54-6

Abstract

With the progress of science and technology, sound source localization technology has a wide range of applications in urban traffic, digital hearing AIDS, mechanical systems and other fields, especially in noise monitoring and other aspects. In order to solve problems such as failure risk, this technology can accurately determine the location of the problem. At present, low-end manual technology is used in many fields, which is inefficient and a waste of time. Therefore, this paper designed a sound source signal positioning and tracking system based on STM32. The system takes STM32F407VET6 as the control core, and the speaker as the sound source that can emit self-defined regular sound. After the amplification circuits, it is sent to the microcontroller for processing.After sampling, the distance and offset Angle between the test point and the sound source are calculated by calculating the time deviation of the sound signal collected by the two microphones. Then control the steering gear rotation and laser alignment to realize the positioning and tracking of the sound source, and display the distance and offset information between the test point and the sound source in the terminal. With the development of modern technology, sound source localization can be widely used in daily life, and with the development of machine learning, cloud computing and electronic technology, this technology will have a broader application prospect.

Keywords:

STM32F407VET6, time difference of Arrival(TDOA) Estimation, device design, low pass filter; positioning means

He,X. (2023). Sound source signal location and tracking system based on STM32. Theoretical and Natural Science,5,946-952.
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References

[1]. Buyun Tong. Research on Sound Source Localization Method Based on Time Delay Estimation Technology [D]. North China Electric Power University, 2019.

[2]. Yishi Jia, Juncheng Wang, Yue Zhao, Huachen Ma. Sound localization system Based on STM32 [J]. Electronic World, 2021, (02):172-173

[3]. Chengbin Ye, Xianyu Chen, Lingfeng Chen. Application of Lichuang EDA in University Electronic Innovation Laboratory [J]. Microcomputer Application, 2012, 38(01):164-166+177.

[4]. Xiaoyang Li, Shihao Li, et al. Sound source Localization and Tracking System Based on Raspberry Pi [J]. Science and Technology Innovation, 2022(32):33-36.

[5]. Honghao Zhang, Yuhao Duan, Binbin Han. Research and implementation of sound source localization algorithm based on TDOA [J]. Journal of Tianjin University of Technology, 2020, 33(2):1-2.

[6]. Changqing Li, Xinli Mei, Ming Qi. Implementation of weak light signal detection circuit [J]. Applied Optics, 2010, 31(05):724-727.

[7]. Jiangfeng Wang. Research on Low Frequency Weak Signal Detection System Based on embedded System [J]. West China Science and Technology, 2015, 14(07):42-44.

[8]. Yansheng Zhu, Yong Gao, et al. Simulation of phase-locked Amplifier Circuit for Weak Signal Detection [J]. Journal of Hunan University of Arts and Science (Natural Science Edition), 2023, 35(01):20-25.

[9]. Zhuling Yin. Research on Low Frequency Small Signal Amplifier Circuit [D]. Beijing University of Posts and Telecommunications, 2012.

[10]. Mingquan Wang, Jiaxin Yang, Tang Yu. Amplifying circuit characteristic test device design [J]. Journal of electronics, 2022, 30 (15): 59-63.

[11]. Guochang Zhang. Research on robust acoustic source localization method [D]. Beijing. Institute of Acoustics, Chinese Academy of Sciences, 2019.

Cite this article

He,X. (2023). Sound source signal location and tracking system based on STM32. Theoretical and Natural Science,5,946-952.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Computing Innovation and Applied Physics (CONF-CIAP 2023)

ISBN：978-1-915371-53-9(Print) / 978-1-915371-54-6(Online)
Editor：Marwan Omar, Roman Bauer
Conference website: https://www.confciap.org/
Conference date: 25 March 2023
Series: Theoretical and Natural Science
Volume number: Vol.5
ISSN：2753-8818(Print) / 2753-8826(Online)

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References

[1]. Buyun Tong. Research on Sound Source Localization Method Based on Time Delay Estimation Technology [D]. North China Electric Power University, 2019.

[2]. Yishi Jia, Juncheng Wang, Yue Zhao, Huachen Ma. Sound localization system Based on STM32 [J]. Electronic World, 2021, (02):172-173

[3]. Chengbin Ye, Xianyu Chen, Lingfeng Chen. Application of Lichuang EDA in University Electronic Innovation Laboratory [J]. Microcomputer Application, 2012, 38(01):164-166+177.

[4]. Xiaoyang Li, Shihao Li, et al. Sound source Localization and Tracking System Based on Raspberry Pi [J]. Science and Technology Innovation, 2022(32):33-36.

[5]. Honghao Zhang, Yuhao Duan, Binbin Han. Research and implementation of sound source localization algorithm based on TDOA [J]. Journal of Tianjin University of Technology, 2020, 33(2):1-2.

[6]. Changqing Li, Xinli Mei, Ming Qi. Implementation of weak light signal detection circuit [J]. Applied Optics, 2010, 31(05):724-727.

[7]. Jiangfeng Wang. Research on Low Frequency Weak Signal Detection System Based on embedded System [J]. West China Science and Technology, 2015, 14(07):42-44.

[8]. Yansheng Zhu, Yong Gao, et al. Simulation of phase-locked Amplifier Circuit for Weak Signal Detection [J]. Journal of Hunan University of Arts and Science (Natural Science Edition), 2023, 35(01):20-25.

[9]. Zhuling Yin. Research on Low Frequency Small Signal Amplifier Circuit [D]. Beijing University of Posts and Telecommunications, 2012.

[10]. Mingquan Wang, Jiaxin Yang, Tang Yu. Amplifying circuit characteristic test device design [J]. Journal of electronics, 2022, 30 (15): 59-63.

[11]. Guochang Zhang. Research on robust acoustic source localization method [D]. Beijing. Institute of Acoustics, Chinese Academy of Sciences, 2019.

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