Radar Signal Intra-Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm

• 作者: Bing Wang Fuli Sun Wenxu Zhang
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: Intra-Pulse Feature Extraction TIME-FREQUENCY Analysis Short-Time FOURIER TRANSFORM Wigner-Ville Distribution WAVELET TRANSFORM
• 年，卷（期）: 2017,（8）
• 页码范围: 118-127
• 页数: 10页
• 分类号: TN91

摘要

With the new system radar put into practical use, the characteristics of complex radar signals are changing and developing. The traditional analysis method of one-dimensional transformation domain is no longer applicable to the modern radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation domain. The time-frequency analysis method is the most widely used method in the two-dimensional transformation domain. In this paper, two typical time-frequency analysis methods of short-time Fourier transform and Wigner-Ville distribution are studied by analyzing the time-frequency transform of typical radar reconnaissance linear frequency modulation signal, aiming at the problem of low accuracy and sen-sitivity to the signal noise of common methods, the improved wavelet transform algorithm was proposed.