基于信号分解的时频分析方法在高频地波雷达目标监测中的应用研究

基金项目: 国家“十五”计划高科技发展计划基金资助项目(2001AA631050)

详细信息

Application of Time-Frequency Analysis Method Based on Signal Decomposition on Target Detection of High Frequency Surface Wave Radar

¹ School of Electronic Information,Wuhan University,129 Luoyu Road, Wuhan 430079,China

Funds: 国家“十五”计划高科技发展计划基金资助项目(2001AA631050)

摘要: 假设目标的速度在相干积累时间内是时变的,而目标的加速度在相干积累时间内是不变的,分析了在这种假设情况下回波信号的处理模型。在比较传统的STFT(short-time Fourier transform)和WVD(Wigner-Villedistribution)等常用时频分析方法的基础上,提出了一种基于信号分解的时频分析方法。该方法既可避免STFT方法的时间和频率分辨率不能同时提高的不足,又可成功解决WVD交叉项干扰的问题,并通过实测数据验证了本文所提方法的正确性。
- 时频分析 /
- 交叉项干扰 /
- 信号分解
Abstract: The time-frequency analysis based on signal decomposition is proposed,after comparing some conventional time-frequency analysis methods such as short-time Fourier transform(STFT) and Wigner-Ville distribution(WVD).The time-frequency analysis based on signal decomposition can avoid that the time and frequency resolution in STFT method cannot be improved at the same time and can solve the cross-term problem in WVD method,and the feasibility of the time-frequency method based on signal decomposition is proved by processing the actual data.
- time-frequency analysis /
- cross-term disturbance /
- signal decomposition