基于时频分布的跳频信号盲分离方法

Blind separation of frequency-hopping signals based on time-frequency distribution

根据跳频信号的非平稳特性,提出一种基于时频分布的跳频信号盲分离方法。该方法利用不同源信号时频特征的差异,通过对混合信号的一组时频分布矩阵联合近似对角化来实现信号的盲分离。理论分析和仿真结果表明,这种方法在未知任何先验参数的情况下,能够有效分离多个跳频网台,而且具有较强的噪声抑制能力。

According to the non-stationary of frequency-hopping signals,a new blind source separation method based on time-frequency distribution is proposed.The method exploits the difference in the time-frequency signatures of the sources to solve the blind source separation problem based on the joint approximate diagonalization of a combined set of time-frequency distribution matrices of mixed signals.The theoretic analysis and simulation result shows that the new method is available for blind separation of frequency-hopping signals even if all the priori knowledge is unknown.Moreover,the proposed method has an increasing robustness with respect to noise.