利用二阶统计量的多跳频信号的盲分离方法

摘要

To separate multi-hopping frequency signals, a method is proposed for blind separation by explicitly exploiting the second-order statistics of signals. Firstly, a cost function is constructed to estimate separation matrix by exploiting the properties of non-stationary and non-whitening of signals, then updated the separation matrix by gradient steepest method, so as to obtain optimal separation matrix. The simulation results show that the method can separate multiple-hopping frequency signals off-or on-line, and its superior robustness performance to the conventional methods.%为了分选混叠的多个跳频信号的网台,提出一种基于二阶统计量的多跳频信号的盲分离方法,该方法首先根据跳频信号的非平稳和非白化特性构造用于估计分离矩阵的代价函数,然后采用梯度下降法的更新规则进行优化,从而获得最优分离矩阵.仿真结果表明,该方法能较好地实现多跳频信号的离线和在线盲分离,且比其他方法具有更好的噪声抑制能力.