欠定条件下一种自适应信噪比的多跳频信号网台分选方法

针对欠定条件下多跳频信号的网台分选问题，该文利用跳频信号在时频域上的稀疏性，采用了跳频源信号的时频单源点的时频比来估计混合矩阵，在计算时频比矩阵时采用快速全局 均值聚类，进而利用子空间投影法与信源相对功率偏差相结合的方法进行欠定条件下的网台分选，同时为了提高在低信噪比条件下分选的效果，在寻找跳频源信号时频单源点时，采用了自适应信噪比的时频支撑点阈值设定方法。理论分析和仿真实验表明了该算法的有效性。

A SNR-adaptive Multi-FH Signal Sorting Method for Under-determined Condition

Aimed at sorting frequency-hopping networks for under-determined multi-hopping signals, this paper utilizes the temporal sparsity of frequency hopping signals and adopted time-frequency ratio of the original source in hopping signals to estimate hybrid matrix. In calculating the time-frequency matrix, this paper uses the fast overall K average cluster through combination of subspace projection and relative power offset to realize the FH sorting for under-determined condition. Meanwhile, in order to improve the performance of sorting under low SNR condition, the adaptive SNR time-frequency supporting point method is adopted into searching the original single source point. The algorithm is verified by theoretical analysis and simulation.