摘要
现代雷达系统越来越多地采用复杂的非平稳信号波形,给电子侦察系统的信号处理提出了越来越高的要求,不仅需要检测出信号包络,还要对雷达信号分选和识别的关键脉内特征参数进行分析提取.为此,将广泛应用于分析和处理非平稳信号的时频分析技术引入雷达侦察信号处理中,介绍了短时Fourier变换、小波变换和WVD等线性和非线性时频分析方法,并应用这些方法对雷达常用的线性调频信号进行了时频分析和计算机仿真,仿真结果证实了方法的有效性.
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.
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第11期96-100,共5页
Journal of Chongqing University
基金
航空科学基金资助(03F52042)
关键词
时频表示
雷达侦察
STFT
WVD
小波变换
time-frequency analysis
radar reconnaissance
STFT
WVD
wavelet transform
