The influence of different preprocessing on radar signal recognition based on time-frequency analysis and deep learning

Qin Li, Wei Liu, C. Niu, Yanyun Wang, Ou Gao, Yintu Bao, Wei‐qi Zou, Haobo Zhang, Q. Hu, Zhikang Lin, Chaofan Pan
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引用次数: 1

Abstract

∗Aiming at the problem of the lack of rigorous comparative analysis in the preprocessing step in the classification and recognition of radar signals based on time-frequency diagrams and deep learning, this paper analyzes the influence of signal denoising, different time-frequency analysis, and time-frequency graph denoising in preprocessing on the classification and recognition of radar signals through control variables. Lay the foundation for further research on radar signal classification and recognition.
不同预处理对基于时频分析和深度学习的雷达信号识别的影响
*针对基于时频图和深度学习的雷达信号分类识别中预处理步骤缺乏严格的对比分析的问题,本文通过控制变量分析了预处理过程中信号去噪、不同时频分析、时频图去噪对雷达信号分类识别的影响。为进一步研究雷达信号分类识别奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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