Dynamic Spectrum Recognition-Based Matrix Ultrasonic Shielding System: Design and Implementation

With the growing demand for privacy protection in public spaces, traditional acoustic shielding technologies face issues such as limited functionality and restricted shielding range. This study aims to develop an intelligent dynamic acoustic shielding system capable of distinguishing between human voices and musical sounds. The hardware of this study is primarily based on a TDA2822-driven ultrasonic parametric array. An innovative solution integrating a dynamic spectrum recognition algorithm and a matrix-type ultrasonic transducer layout is proposed, utilizing an STM32F103ZET6 and direct memory access (DMA) for real-time processing, achieving millisecond-level signal response. Experimental results show that the system achieves a 60 coverage angle at a shielding distance of 1.5 meters, increases power efficiency to 85%, and attains a 90% accuracy rate in voice recognition. This achievement provides a highly scalable technical path for directional privacy protection and can be applied to various scenarios such as conferences and healthcare. In the future, artificial intelligence can be incorporated for further performance optimization.