基于自适应时频分布的瞬时频率估计算法

Instantaneous Frequency Estimation Based on Adaptive Time-Frequency Distribution

为了改善噪声条件下信号瞬时频率的估计方差及减少瞬时频率估计的计算量,提出了基于信号自适应最优核时频分布的瞬时频率估计算法及一种改进算法。在改进算法中,计算自适应时频分布时,综合利用线性时频分布(Gabor变换)和正交时频分布(Wigner-Ville变换)的特点生成一种基于信号的自适应时频分布。仿真和实际数据处理结果表明,改进算法同基于信号的自适应最优核时频分布的瞬时频率估计算法相比具有计算量小、方差接近的优点。

An instantaneous frequency estimation based on adaptive optimal kernel time-frequency distribution and a modified algorithm are proposed in order to enhance the instantaneous frequency estimation of multicomponent signal in noise environment. In the computation of modified algorithm, a new adaptive time-frequency distribution based on Gabor transform and Wigner-Ville distribution is obtained. Simulation and real data analysis show that the modified algorithm has the properties of low variance and calculational complexity.