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Recognition of Radar Signals Modulation Based on Short Time Fourier Transform and Reduced Fractional Fourier Transform

机译:基于短时傅里叶变换和降阶分数阶傅里叶变换的雷达信号调制识别

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摘要

As the useful time-frequency tool, the Fractional Fourier Transform (FRFT) and the Short Time Fourier Transform (STFT) have a great development of signal recognition. And the Reduced Fractional Fourier Transform (RFRFT) was recently proposed and has been used in the recognition and estimation of chirp signals. A new method based on STFT and RFRFT is presented for radar signals modulation recognition. Compared with the old method, the new method reduces calculation and become more agile. It can provide a higher recognition rate when SNR is larger than 0 db. This method is divided into two steps: firstly, according to the envelope curve of rotation angle a domain of radar signals, by judging if the curve peak corresponding fractional order is 1, we can divided signals into two categories; secondly, we use the curve kurtosis to recognize LFM and NLFM; Then by the STFT spectrum peak number we can recognize BFSK and BPSK.
机译:作为有用的时频工具,分数阶傅立叶变换(FRFT)和短时傅立叶变换(STFT)在信号识别方面有了长足的发展。并且最近提出了缩减分数阶傅里叶变换(RFRFT),并将其用于in信号的识别和估计。提出了一种基于STFT和RFRFT的雷达信号调制识别新方法。与旧方法相比,新方法减少了计算并变得更加敏捷。当SNR大于0 db时,它可以提供更高的识别率。该方法分为两个步骤:首先,根据雷达信号旋转角的包络曲线域,通过判断曲线峰对应的分数阶是否为1,可以将信号分为两类。其次,我们使用曲线峰度识别LFM和NLFM。然后,通过STFT频谱峰值,我们可以识别BFSK和BPSK。

著录项

  • 来源
    《Journal of information and computational science》 |2013年第16期|5171-5178|共8页
  • 作者

    Yibing Li; Yanhuan Wang; Yun Lin;

  • 作者单位

    College of Information and Communication Engineering, Harbin Engineering University Harbin 150001, China;

    College of Information and Communication Engineering, Harbin Engineering University Harbin 150001, China;

    College of Information and Communication Engineering, Harbin Engineering University Harbin 150001, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Radar Signal; Modulation Recognition; RFRFT; STFT;

    机译:雷达信号调制识别;RFRFT;薄膜晶体管;

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