Abstract: A new method for extracting the parameters of unknown Frequency Hopping（FH） signal is proposed based on reassignment SPWVD.This method can exactly extract and estimate the parameters of non-cooperative FH signals such as hopping frequencies，hop duration and hop timing without knowing any priori knowledge.This paper introduces the basic principle of reassignment time-frequency analysis，compares analysis results of FH signals using WVD，SPWVD and MSPWVD，and designs the parameter extracting algorithm based on MSPWVD.Exact extracting results have been obtained by computer simulating and good performances of this algorithm are shown through analyzing the results.

Key words: reassignment, SPWVD, frequency hopping, parameter extraction

摘要： 提出了一种基于重排平滑伪Wigner-Ville分布（SPWVD）的未知跳频信号参数盲估计方法。在未知任何先验条件情况下，能够从截获信号中提取并估计出非合作跳频信号的跳频信号驻留时间、跳变时刻和跳频频率。介绍了重排时频分析原理，比较了跳频信号的WVD分布、平滑伪WVD分布和重排平滑伪WVD分布（MSPWVD），设计了基于MSPWVD分布的跳频信号参数盲提取算法，通过计算机仿真得到了较为准确的提取结果，并对算法的性能进行了分析。

关键词: 重排, SPWVD, 跳频, 参数提取