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Signal Processing Techniques for Radar Reconnaissance System Based on Time-frequency Analysis
引用本文:ZHENG Sheng-hu,XU Da-zhuan,JIN Xue-ming,ZHANG Ren-fei. Signal Processing Techniques for Radar Reconnaissance System Based on Time-frequency Analysis[J]. 保鲜与加工, 2006, 0(11): 96-100
作者姓名:ZHENG Sheng-hu  XU Da-zhuan  JIN Xue-ming  ZHANG Ren-fei
摘    要:The complex non-stationary signals are most often used in modem radar and communication systems. It must perform the tasks of envelope detection and intra-pulse feature analysis for radar pulse classification and identification. Time-frequency analysis is an effective tool for modem signal processing, and often applied to analyze and process non-stationary signals. Several methods of time-frequency analysis are presented, reconnaissance are also discussed and simulated. Simulation results show the and their applications in the radar signal effectiveness of these methods.

关 键 词:time-frequency analysis   radar reconnaissance    STFT   WVD   wavelet transform
收稿时间:2006-05-23
修稿时间:2006-05-23

Signal Processing Techniques for Radar Reconnaissance System Based on Time-frequency Analysis
ZHENG Sheng-hu,XU Da-zhuan,JIN Xue-ming,ZHANG Ren-fei. Signal Processing Techniques for Radar Reconnaissance System Based on Time-frequency Analysis[J]. Storage & Process, 2006, 0(11): 96-100
Authors:ZHENG Sheng-hu  XU Da-zhuan  JIN Xue-ming  ZHANG Ren-fei
Abstract:The complex non-stationary signals are most often used in modem radar and communication systems. It must perform the tasks of envelope detection and intra-pulse feature analysis for radar pulse classification and identification. Time-frequency analysis is an effective tool for modem signal processing, and often applied to analyze and process non-stationary signals. Several methods of time-frequency analysis are presented, reconnaissance are also discussed and simulated. Simulation results show the and their applications in the radar signal effectiveness of these methods.
Keywords:time-frequency analysis   radar reconnaissance    STFT   WVD   wavelet transform
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