Research on the improved algorithm of radar signal sorting based on maximum SNR

This paper proposes an improved radar signal sorting algorithm based on the maximum signal-to-noise ratio criterion, aiming at the high computational complexity or poor separation effect of traditional signal sorting algorithms. The algorithm uses the maximum signal-to-noise ratio when the independent signals are completely separated to establish an objective function. The source signal is replaced by the mixed signal processed by the adaptive length moving average. The extreme value problem of the objective function is transformed into a generalized eigenvalue problem. Compared with the traditional method, the improved algorithm not only retains the separation effect of the traditional information theory sorting algorithm, but also has lower computational complexity. Experimental simulation proves that the algorithm can separate linearly aliased radar signals more effectively.