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.