基于时频分析与形态学滤波的跳频参数估计

Parameter Estimation of FH Signal Based on Time-Frequency Analysis and Morphological Filtering

针对跳频信号侦察中的参数估计问题,在对跳频信号进行平滑伪Wigner-Ville分布(SPWVD)处理的基础上,提出了一种基于数学形态学滤波的跳频参数估计方法.该方法首先对跳频信号的SPWVD时频图进行阈值分割,转化为二值图;通过形态学滤波和细化提取时频脊线,从而估计跳频信号参数.仿真结果表明:与直接利用SPWVD变换后峰值提取脊线的方法相比,该方法具有更高的估计精度.

Aimed at the problems of parameter estimation in frequency-hopping（HF） signal reconnaissance,this paper proposes a method of HF parameter estimation that is based on the mathematical morphological filtering,where the SPWVD time-frequency map is segmented with threshold firstly,converting to a binary image,and secondly,the time-frequency-ridge is extracted by morphological filtering and thinning,thus estimating the FH signal parameters.Simulation results show that this method has the higher estimation accuracy than the method of extracting the ridge using the peak directly transformed by the SPWVD dose.