Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (22): 24-26.DOI: 10.3778/j.issn.1002-8331.2008.22.007

• 博士论坛 • Previous Articles     Next Articles

Pulsar TOA estimation algorithm based on SWT and FRFT

LIU Jin,MA Jie,TIAN Jin-wen   

  1. Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies,Huazhong University of Science and Technology,Wuhan 430074,China
  • Received:2008-03-24 Revised:2008-04-24 Online:2008-07-11 Published:2008-07-11
  • Contact: LIU Jin


刘 劲,马 杰,田金文   

  1. 华中科技大学 图像所多谱信息处理技术国家重点实验室,武汉 430074
  • 通讯作者: 刘 劲

Abstract: The pulsar super-resolution TOA algorithm based on stationary wavelet transform and fractional Fourier transform is proposed.First,the pulsar signal in one period is decomposed by multi-SWT.Then,TOA each corresponding to the low frequency part of the FRFT with different resolution is estimated.Finally,multiple-estimation of the pulsar TOA is obtained.The simulation results show that this algorithm can achieve precise and steady TOA with low sampling rate in noisy backgrounds.

Key words: pulsar, TOA, stationary wavelet transformation, fractional Fourier transform

摘要: 提出了一种基于平稳小波和分数阶傅立叶变换的脉冲星超分辨率TOA估计算法。首先,对一个周期内的脉冲星信号进行多层平稳小波分解。然后,估计出与各层低频系数分数阶傅立叶变换相对应的TOA。最后,对脉冲星信号到达时间进行复合估计。实验结果表明,在低采样率,强噪声背景的情况下,该算法能获得稳定、准确的脉冲信号到达时间。

关键词: 脉冲星, TOA, 平稳小波变换, 分数阶傅立叶变换