一种改进的多分量正弦调频信号时频分析算法

An Improved Time-frequency Analysis Algorithm for Multi-component Sinusoidal Frequency Modulation Signal

针对多分量正弦调频信号时频分析中短时傅里叶变换时域和频域性能互相矛盾,魏格纳分布存在交叉项干扰,重排类时频分布计算复杂度高等问题,在分析正弦调频信号特性的基础上,结合短时傅里叶变换、魏格纳分布的优点,提出了一种改进的多分量正弦调频信号时频分析算法,并通过仿真分析进行了验证,结果表明:该算法可以在抑制交叉项干扰的情况下提高时频分辨率,而且耗时较少。

In the time-frequency analysis of multi-component Sinusoidal Frequency Modulation(SFM)signal,the time domain and frequency domain performance of Short-Time Fourier Transform(STFT) are contradictory,the cross-item interference of Wigner-Ville Distribution(WVD) is serious,and the computational complexity of reassigned time-frequency distribution is high. Aiming at these problems,based on the analysis of the characteristics of SFM signal,an improved time-frequency analysis algorithm for multi-component SFM signal is proposed by combining the advantages of STFT and WVD,which is validated by simulation analysis. The result shows that the improved algorithm can improve the time-frequency resolution in the case of suppression of cross-item interface,and spend less time.