基于改进WVD的跳频信号参数估计方法

Frequency-hopping signal parameter estimation based on improved WVD

为了克服传统的平滑伪魏格纳分布(SPWVD)在跳频信号参数估计中分辨率降低的问题,提出基于改进WVD算法的跳频信号参数估计新方法。通过分析跳频信号WVD的性质和特点,构造出与跳频信号WVD自项支撑区重合的时频窗,用其与信号WVD相乘进行加窗,有效抑制交叉干扰项的同时保持了WVD良好的时频分辨率,得到了清晰的跳频信号时频分布,基于此分布给出跳频信号参数估计的具体步骤。仿真实验结果表明,该方法有效可行且具有很好的整体性能。

To overcome the lower resolution problem of using smoothed pseudo Wigner-Ville distribution （SPWVD） to estimate the frequency-hopping signal parameters, a new method for frequency-hopping signal parameter estimation is proposed based on improved WVD. By analyzing the nature and characteristics of WVD, a time-frequency window is constructed, which covered the frequency- hopping signal WVD auto-term support area, and by using this time-frequency window multiplied with signal WVD to windowing it in time-frequency plane, the result is to eliminate cross-interference terms effectively, maintain WVD good time-frequency resolution, and get a clear time-frequency distribution of frequency-hopping signal, based on this distribution, the specific method of frequency- hopping signal parameter estimation is given. Experimental results show that this method is effective and feasible, and has good overall performance.