基于矩阵联合分块对角化的通信信号监测

在非协作通信和军事通信对抗中,接收机需要对接收到的多个通信信号进行分离,以提取出有用的信号,这可以归为通信信号卷积盲分离问题。首先构建信号模型,并将问题转化为多个矩阵的联合分块对角化。然后提出一种新的非正交矩阵联合分块对角化算法,使用最速下降法得到迭代算法,并分析了算法的可能优化策略和计算复杂度。最后仿真实验验证了新算法的有效性和可靠性,在无须计算最优步长等条件下能够获得比现有算法更快的收敛速度。

Communication signal monitoring based on joint block diagonalization of matries

In the situation of non cooperative communication and military communication electronic warfare, multiple communication signals should be separated to extract some useful signals, which comes down to a problem of blind source separation of signal convolution. First the model of the received signals is built and transformed to the problem of joint block diagonalization. Then a new non orthogonal joint block diagonalization algorithm is proposed. The new iterative algorithm is based on the steepest gradient descent method, and the optimization strategy and computation complexity are analyzed. Simulation results demonstrate the validity and reliability of the algorithm, which has a faster convergence speed than the existing methods.