Sound　source　localization　techniques　are　becoming　popular　as　they　provide　an　effective　information　for　parameter　coding　and　reconstruction　of　sound　scene.　A　recent　approach　based　on　＇single-source＇　zone　detecting　was　proposed.　However,　the　method　is　not　robust　in　noisy　environment　due　to　its　DOA　estimation　principle.　To　overcome　this　issue,　a　mixture　enhancement　processing　based　multiple　sound　source　localization　method　using　soundfield　microphone　is　presented　in　this　work.　In　addition,　a　dual　threshold　determination　method　of　＇single-source＇　zone　is　proposed　as　well.　The　combination　of　the　two　methods　can　effectively　weaken　the　influence　of　noise　on　the　localization.　Thereafter,　localization　can　be　proceeded　in　these　detected　＇single-source＇　zones　by　applying　a　peak　searching　approach　to　the　normalized　DOA　estimation　histogram.　The　evaluations　reveal　that　the　proposed　method　achieves　a　higher　accuracy　of　DOA　estimation　compared　with　the　existing　techniques　and　it　is　robust　in　noisy　environment.　©　2016　IEEE.