As a core part of the electronic warfare (EW) system,de-interleaving is used to separate interleaved radar signals.The de-interleaving algorithm based on the fuzzy adaptive resonance theory (fuzzy ART) is plagued by the problems of premature saturation and performance improving dilemma.This study proposes a dual fuzzy vigilance ART (DFV-ART) algorithm to address these problems and make the following improvements.Firstly,a correction method is introduced to prevent the network from prematurely saturating;then,the fuzzy vigilance models (FVM) are constructed to replace the conventional vigilance parameter,reducing the error probability in the overlapping region;finally,a dual vigilance mechanism is introduced to solve the performance improving dilemma.Simulation results show that the proposed algorithm could improve the clustering accuracy (quantization error dropped 60％) and the de-interleaving performance (clustering quality increased by 10％) while suppressing the excessive proliferation of categories.