Measurement-Based Characterization of Buzz Noise in Wireless Devices
Abstract
When a device is communicating through wireless connections such as GSM or Wi-Fi, noise in audible range, called buzz noise, is often generated in an audio system and disturbs the audio signal quality. While the buzz noise problem has been found in wireless devices for a long time, there is little understanding of the buzz noise generation mechanism. In this paper, a buzz noise model is proposed considering demodulation and transfer function of the microphone IC front-end. The proposed model is verified through several experiments using recorded audio data in a tablet. Especially, the buzz noise caused by real Wi-Fi signals is reproduced by using the model and compared to recorded buzz noise.
Recommended Citation
Y. Zhong et al., "Measurement-Based Characterization of Buzz Noise in Wireless Devices," Proceedings of the 2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity (2018, Long Beach, CA), pp. 134 - 138, Institute of Electrical and Electronics Engineers (IEEE), Jul 2018.
The definitive version is available at https://doi.org/10.1109/EMCSI.2018.8495170
Meeting Name
2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity, EMC, SI and PI 2018 (2018: Jul. 30-Aug. 3, Long Beach, CA)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Audio acoustics; Audio equipment; Busbars; Electromagnetic compatibility; Microphones; Noise pollution; Radio; Wi-Fi; Wireless local area networks (WLAN); Buzz noise; Measurement-based; Noise generation mechanisms; Noise modeling; Noise problems; Wi-Fi signals; Wireless connection; Wireless devices; Acoustic noise
International Standard Book Number (ISBN)
978-1-5386-6621-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jul 2018
Comments
This work was supported in part by the National Science Foundation under Grant No. IIP-1440110.