Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation
Jinya Zhang,
Min Jiang,
Jingyi Zhang
et al.
Abstract:Ultrasound is extremely efficient for wireless signal transmission through metal barriers due to no limit of the Faraday shielding effect. Echoing in the ultrasonic channel is one of the most challenging obstacles to performing high-quality communication, which is generally coped with by using a channel equalizer or pre-distorting filter. In this study, a deep learning algorithm called a dual-path recurrent neural network (DPRNN) was investigated for echo cancellation in an ultrasonic through-metal communicati… Show more
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