设计具有时空水下信道特征提取能力的深度学习声纳接收器

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Chih-Ta Yen, Un-Hung Chen
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引用次数: 0

摘要

本研究采用深度学习网络技术来解决水下信道快速变化的问题。所采用的调制技术是频移键控(FSK)和 MATLAB 的 BELLHOP 模块,它们用于创建具有多径、多普勒频移和加性高斯白噪声的水域,从而获得模拟实际海洋环境的水下声学接收信号。手稿中模拟了台湾西南沿海地区。结果表明,利用虚拟时间反转镜(VTRM)技术优化环境,可以普遍降低深度学习网络模型接收器和传统解调接收器的误码率(BER)。最后,部署了七种深度学习网络来解调 FSK 信号,并将这些方法与传统解调技术进行比较,以确定最适合海洋环境的深度学习网络技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Deep Learning Acoustic Sonar Receiver with Temporal/ Spatial Underwater Channel Feature Extraction Capability
In this study, deep learning network technology is employed to solve the problem of rapid changes in underwater channels. The modulation techniques employed are frequency-shift keying (FSK) and the BELLHOP module of MATLAB; they are used to create water with multipath, Doppler shifts, and additive Gaussian white noise such that underwater acoustic receiving signals simulating the actual ocean environment can be obtained. The southwest coastal area of Taiwan is simulated in the manuscript. The results reveal that optimizing the environment by using the virtual time reversal mirror (VTRM) technique can generally mitigate the bit error rates (BERs) of the deep learning network’s model receiver and traditional demodulation receiver. Lastly, seven deep learning networks are deployed to demodulate the FSK signals, and these approaches are compared with traditional demodulation techniques to determine the deep learning network techniques that are most suitable for marine environments.
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.
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