基于离散正弦调频变换的多分量正弦调频信号参数估计方法

Parameter estimation of multicomponent SFM signals based on discrete sinusoidal frequency modulation transform

作为一种非平稳时频信号,正弦调频(sinusoid frequency modulation,SFM)信号在雷达和无线通信领域得到广泛应用。为了解决常规时频分析方法无法有效估计多分量SFM信号参数的问题,提出离散正弦调频变换(discrete sinusoidal frequency modulation transform,DSFMT)。利用SFM信号在DSFMT域的聚敛特征,提出基于DSFMT的多分量SFM信号参数估计方法。给出多分量SFM信号和DSFMT变换的数学模型,论证了多分量SFM信号在DSFMT域聚敛特征的差异,仿真分析基于DSFMT的多分量SFM信号参数估计方法的技术性能。理论分析和实验结果表明:多分量SFM信号在DSFMT域有明显的聚敛特征差异,基于DSFMT的多分量SFM信号参数估计方法可有效估计多个SFM信号幅度和调制指数。

As a non-stationary signal, the sinusoidal frequency modulation （SFM） signal is widely used in radar and wireless communication fields. To solve the problem that common time-frequency analysis methods can not estimate the parameter of multicomponent SFM signals effectively, the discrete sinusoidal frequency modulation transform （DSFMT） is proposed. According to the characteristic that the SFM signal is energy-con- centrated in the DSFMT domain, the parameter estimation method of multicomponent SFM signals by DSFMT is presented. The models of multicomponent SFM signals are described; the different concentration properties of multicomponent SFM signals in the DSFMT domain are demonstrated; the performance of the mentioned method is analyzed by simulation. Theoretical analysis and simulation results show that there are apparently differences between two SFM signals in the DSFMT domain, the proposed method can precisely estimate the amplitudes and modulation indices of multicomponent SFM signals.