形态学滤波与组合时频分布跳频信号参数估计

针对跳频信号参数估计中平滑类维格纳分布（WVD）运算量大和时频分辨率下降等问题，提出一种基于形态学滤波与组合时频分布的跳频参数盲估计方法。该方法首先利用短时傅里叶变换（STFT）和维格纳分布得到跳频信号的组合时频分布，然后通过形态学滤波得到清晰的时频图，进而估计出跳周期、跳变时刻和跳频频率等参数。理论分析和仿真结果表明，与直接利用平滑伪维格纳（SPWVD）进行跳频参数估计相比，该方法计算量更小，估计精确度更高。

Parameter estimation of FH signals based on morphological filtering and combination of time-frequency distribution

A parameter blind estimation method of Frequency-Hopping(FH) signals is proposed based on morphological filtering and the combination of time-frequency distribution(TFD), to solve the problems of large computation amount and the decreased time-frequency resolution. Short-Time Fourier Transform (STFT) and Wigner-Ville Distribution(WVD) are adopted to obtain the combination of TFD. Thereafter, the clear time-frequency image is obtained by morphological filtering. According to the time-frequency image, the hop duration, hop timing and hop frequency are estimated. The theoretical analysis and simulation results demonstrate that the proposed algorithm, compared with Smoothed Pseudo Wigner-Ville Distribution(SPWVD), bears less amount of calculation and higher estimation precision.