中文摘要：

针对组网跳频信号网台分选需求研究跳频信号的有效盲分离问题，现有基于联合对角化的跳频信号盲分离算法要求严格正交对角化，而实际中往往难以满足，为了放宽正交性条件，提出基于非正交联合对角化的多个跳频信号盲分离算法。该算法先把整个时频域划分成多个时隙后逐一处理，采用基于降噪处理的梯度范数法对观测信号进行处理，从而能精确提取具有特征矩阵结构的自项时频点，在计算其对应空间时频分布矩阵基础上，通过非正交联合对角化估计分离矩阵，能分离多个混叠跳频信号。仿真结果表明：该算法能有效实现跳频信号盲分离，与其它跳频信号盲分离算法相比具有更好的鲁棒性。

英文摘要：

In order to realize the blind separation of FH signals based on the needs of its network-station sorting,most of existing approaches based on joint diagonalization for FH signals request the orthogonality exactly,whereas this requirement is always limited in many practical applications.In order to soften the terms,a new blind separation algorithm based on non-orthogonal j oint diagonalization is proposed.The al-gorithm effectively obtains the auto-source （time-frequency）TF points with the eigenmatrix structure through gradient norm based on noise reduction algorithm in timeslots area,computes a sequence of matri-ces of time-frequency distributions （TFDs）,and then estimates the separate matrix through non-orthogo-nal j oint diagonalization to realize blind source separation of mixed frequency-hopping signals.The results of the simulations illustrate that the proposed algorithm is effective in the blind separation of frequency-hopping signals,and the robustness is better than that of the other blind separation algorithms of frequen-cy-hopping signals.