摘要详情

ID / 提交时间

31 / 2023-08-29 10:33:58

标题

Novel Radar-Based Non-Contact Audio Recovery Method for Multi-Target Sound Equipment Monitoring

关键字

Arctangent Demodulation (AD),FMCW Radar,Adaptive Beamforming,Point cloud processing,spectral subtraction,Audio Recovery

主题及专题

Special Sessions > SS09 - Advanced Acoustic and Vibration Measurement Techniques and Applications in the Fault Diagnosis of Industrial Equipment

状态

终稿

作者

Liuyang Zhang / Xi’an Jiaotong University；State Key Laboratory for Manufacturing Systems Engineering

Fengshuo Tian / Xi’an Jiaotong University；State Key Laboratory for Manufacturing Systems Engineering

Zhongxing Wang / Xi’an Jiaotong University；State Key Laboratory for Manufacturing Systems Engineering

摘要

Frequency-Modulated Continuous Wave (FMCW) radar demonstrates unconventional capabilities in non-contact equipment monitoring, with significant application potential in fault diagnosis, smart homes, and audio recovery. However, current research predominantly focuses on single-target audio recovery, leaving the domain of realistic multi-target audio recovery relatively unexplored. This paper introduces a new radar-based non-contact audio recovery method for restoring audio temporal signals. The Multiple Signal Classification (MUSIC) algorithm is adapted to enhance angular resolution, a crucial component of the adaptive beamforming algorithm. By enhancing the Minimum Variance Distortionless Response (MVDR)-based adaptive beamforming technique, reflections from surrounding targets are effectively suppressed, enabling precise monitoring of audio devices. Leveraging the fusion of camera and millimeter-wave radar technology, along with coordinate transformation and point cloud processing techniques, the distinction between audio equipment and background clutter is improved and the interpretability of radar charts is enhanced. Signal recovery is achieved through bandpass filtering and spectral subtraction. A radar module is affixed to a circular plate and rotated using a servo motor. Radar signal processing is employed to detect object positions, allowing servo motor adjustment of radar measurement range. The proposed method demonstrates robust detection of multi-target audio equipment, contributing to the advancement of non-contact equipment monitoring.