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Detection Algorithm for LFM Echo of Underwater Moving Targets Based on Discrete Fractional Fourier Transform
作者姓名:陈鹏  侯朝焕  梁亦慧
作者单位:[1]Institute of Acoustics, Chinese Academy of Sciences, Beijing 100080, China [2]Systems Engineering Research Institute, China State Shipbuilding Corporation , Beijing 100036, China
摘    要:The mismatch between echo and replica caused by underwater moving target(UMT)'s radial velocity degrades the detection performance of the matched filter(MF) for the linear frequency modulation(LFM) signal. By using the focusing property of fractional Fourier transform(FRFT) to that signal, a detection algorithm for UMT's LFM echo based on the discrete fractional Fourier transform(DFRFT) is proposed. This algorithm is less affected by the target's radial velocity compared with the other MF detection algorithm utilizing zero radial velocity replica(ZRVR), and the mathematical relation between the output peak positions of these two algorithms exists in the case of existence of target echo. The algorithm can also estimate the target distance by using this relation. The simulation and experiment show that this algorithm's detection performance is better than or equivalent to that of the other MF algorithm utilizing ZRVR for the LFM echo of UMT with unknown radial velocity under reverberation noise background.

关 键 词:信息处理技术  离散傅立叶变换  线性频率调制  匹配滤波
文章编号:1673-002X(2007)04-0302-06
收稿时间:2007-02-28

Detection Algorithm for LFM Echo of Underwater Moving Targets Based on Discrete Fractional Fourier Transform
CHEN Peng,HOU Chao-huan,LIANG Yi-hui.Detection Algorithm for LFM Echo of Underwater Moving Targets Based on Discrete Fractional Fourier Transform[J].Journal of China Ordnance,2007,3(4):302-307.
Authors:CHEN Peng  HOU Chao-huan  LIANG Yi-hui
Abstract:The mismatch between echo and replica caused by underwater moving target(UMT)'s radial velocity degrades the detection performance of the matched filter(MF) for the linear frequency modulation(LFM) signal. By using the focusing property of fractional Fourier transform(FRFT) to that signal, a detection algorithm for UMT's LFM echo based on the discrete fractional Fourier transform(DFRFT) is proposed. This algorithm is less affected by the target's radial velocity compared with the other MF detection algorithm utilizing zero radial velocity replica(ZRVR), and the mathematical relation between the output peak positions of these two algorithms exists in the case of existence of target echo. The algorithm can also estimate the target distance by using this relation. The simulation and experiment show that this algorithm's detection performance is better than or equivalent to that of the other MF algorithm utilizing ZRVR for the LFM echo of UMT with unknown radial velocity under reverberation noise background.
Keywords:information processing technique  radial velocity  matched filter  fractional Fourier transform  discrete fractional Fourier transform  Fractional Fourier Transform  Discrete  Based  Moving Targets  Echo  Algorithm  better  equivalent  MF algorithm  reverberation  noise  background  simulation  experiment  show  estimate  distance  mathematical relation  output  peak
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