王峰, 傅有光. 基于分数阶傅里叶变换的距离维超分辨方法[J]. 电波科学学报, 2012, 27(3): 583-586.
      引用本文: 王峰, 傅有光. 基于分数阶傅里叶变换的距离维超分辨方法[J]. 电波科学学报, 2012, 27(3): 583-586.
      WANG Feng, FU You-guang. Range dimension super resolution by using fractional Fourier transform[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 583-586.
      Citation: WANG Feng, FU You-guang. Range dimension super resolution by using fractional Fourier transform[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 583-586.

      基于分数阶傅里叶变换的距离维超分辨方法

      Range dimension super resolution by using fractional Fourier transform

      • 摘要: 宽带雷达目标一维距离像是实现目标识别的重要依据,提高距离维的分辨率对提高目标识别概率非常重要。针对超宽带雷达运动目标回波,采用分数阶傅里叶变换算法(FrFT)搜索并补偿带宽内的多普勒差异,同时将距离维时延信息转换为频域信息,采用多重信号分类(MUSIC)超分辨算法,针对FrFT处理后的数据进行超分辨。该方法实现了距离维信息的超分辨,其性能较传统的脉冲压缩技术或"去斜"技术有显著提高,可以应用到目标识别与分类中,提高正确识别概率。采用计算机仿真验证了所给出算法的有效性。

         

        Abstract: Resolution of the range profile is essential for target identification of broad band radar.To process the moving target echo of the ultra wide band radar, Doppler difference is compensated by using the Fractional Fourier Transform (Fr-FT)algorithm.The time delay information is turned into the Doppler domain.The data processed by FrFT is reprocessed by the multiple singnal classification(MUSIC) algorithm.Super resolution of range dimension is realized by using our approach, and its performance is superior to the conventional pulse compression or Dechirp method.It is useful for target identification.The efficiency of our approach is proven by computer simulation.

         

      /

      返回文章
      返回