A True Digital Feedforward Active Noise Control System with no Analog-to-Digital and Digital-to-Analog Converters

被引:0
作者
Li, Mingzhe [1 ]
Shi, Chuang [1 ]
Wang, Yue [1 ]
机构
[1] Univ Elect Sci & Technol China, Chengdu, Peoples R China
来源
2021 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC) | 2021年
基金
中国国家自然科学基金;
关键词
PRACTICAL IMPLEMENTATION; ALGORITHM; SOUND;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An active noise control (ANC) system emits sound waves to attenuate noise. With constraints on cost and size, the ANC system often outperforms passive noise control (PNC) measures when the noise frequency is low. Electro-acoustic devices, such as microphones and loudspeakers, are conventionally used in ANC systems. They convert sound pressure with different voltages. The analog-to-digital and digital-to-analog converters have to be connected to the digital controller in the ANC system with electro-acoustic devices. With the development of digital acoustic devices, sound pressure can be converted straightforwardly into and from the digital signal in the format of pulse density modulation (PDM), which is also known as the 1-bit quantized signal. Incorporating with the digital acoustic devices, this paper proposes a true digital ANC system design that has no analog-to-digital (AD) and digital-to-analog (DA) converters. Specifically, the feedforward filtered reference least mean square (LMS) algorithm with online secondary path modeling is implemented in a newly proposed systolic structure on the FPGA, where the digital acoustic devices are connected directly to the FPGA I/O pins.
引用
收藏
页码:1192 / 1196
页数:5
相关论文
共 20 条
[1]  
ADAMS RW, 1991, J AUDIO ENG SOC, V39, P515
[2]   An overview of sigma-delta converters [J].
Aziz, PM ;
Sorensen, HV ;
VanderSpiegel, J .
IEEE SIGNAL PROCESSING MAGAZINE, 1996, 13 (01) :61-84
[3]  
BURGESS JC, 1981, J ACOUST SOC AM, V70, P715, DOI 10.1121/1.386908
[4]  
Elliott S., 2000, Signal Processing for Active Control
[5]   A MULTIPLE ERROR LMS ALGORITHM AND ITS APPLICATION TO THE ACTIVE CONTROL OF SOUND AND VIBRATION [J].
ELLIOTT, SJ ;
STOTHERS, IM ;
NELSON, PA .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1987, 35 (10) :1423-1434
[6]   USE OF RANDOM NOISE FOR ONLINE TRANSDUCER MODELING IN AN ADAPTIVE ACTIVE ATTENUATION SYSTEM [J].
ERIKSSON, LJ ;
ALLIE, MC .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 1989, 85 (02) :797-802
[7]  
Hansen C., 2001, UNDERSTANDING ACTIVE
[8]   Recent advances on active noise control: open issues and innovative applications [J].
Kajikawa, Yoshinobu ;
Gan, Woon-Seng ;
Kuo, Sen M. .
APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING, 2012, 1 (01)
[9]   Application of filter sharpening to cascaded integrator-comb decimation filters [J].
Kwentus, AY ;
Jiang, ZN ;
Willson, AN .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1997, 45 (02) :457-467
[10]  
Pavan S., 2017, UNDERSTANDING DELTA