中文摘要：

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。

英文摘要：

The time- frequency analysis method, Short Time Fourier Transform （STFT）, is applied to the Linear Frequency Modulation（LFM） filtering and it brakes the hypothesis of the traditional matched filtering that the sig- nal is stationary and the analysing space is expanded from one - dimension to two - dimension time - frequency do- main. The self- filtering approach is adopted to the LFM filtering and the performance of the time - frequency ill- tering is simulated using the time domain and time - frequency domain Mean Square Error （MSE） criteria. The simulation results show that the time - frequency filtering method based on STFT is effective to the LFM filtering.