| 摘要: |
| 将短时傅里叶变换（STFT）的时频分析方法应用到线性调频（LFM）信号的滤波中，
突破了传统匹配滤波方法基于平稳假设的限制，将信号分析空间从一维频率域扩展到二维的
时间-频率域。利用自滤波的时频滤波方法进行LFM信号的滤波，然后分别采用时域和时频域
的均方误差（MSE）标准，分析了时频滤波的性能。仿真结果表明，基于STFT的时频滤波方
法能有效实现对LFM信号的滤波。 |
| 关键词: 线性调频 短时傅里叶变换 时频滤波 非平稳信号 |
| DOI： |
|
| 基金项目:国家自然科学基金资助项目（60772056） |
|
| Application of STFT in Time-Frequency Filtering of LFM Signals |
| CHI Hua-shan,WANG Hong-xing,GUO Qi,LAI Shu-rong |
| () |
| Abstract: |
| The time-frequency analysis method, Short Time Fourier Transform(STFT), is appli
ed to the Linear Frequency Modulation(LFM) filte
ring and it brakes the hypothesis of the traditional matched filtering that the
s
ignal is stationary and the analysing space is expanded from one-dimension to t
wo-dimension time-frequency domain. The self-filtering approach is adopted to t
he LFM filtering and the performance of the time-frequency filtering is simulat
ed using the time domain and time-frequency domain Mean Square Error(MSE) crite
ria. The simulation results show that the time-frequency filtering method based
on STFT is effective to the LFM filtering. |
| Key words: linear frequency modulation short time Fourier transform time-frequency filter
ing non-stationary signal |
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