Multiple　sound　sources　localization　is　a　hot　topic　in　audio　signal　processing　and　is　widely　utilized　in　many　application　areas.　This　paper　proposed　a　multiple　sound　sources　localization　method　based　on　a　statistically　dominant　source　component　removal　(SDSCR)　algorithm　by　soundfield　microphone.　The　existence　of　the　statistically　weak　source　(SWS)　among　soundfield　microphone　signals　is　validated　by　statistical　analysis.　The　SDSCR　algorithm　with　joint　an　intra-frame　and　inter-frame　statistically　dominant　source　(SDS)　discriminations　is　designed　to　remove　the　component　of　SDS　while　reserve　the　SWS　component.　The　degradation　of　localization　accuracy　caused　by　the　existence　of　the　SWS　is　resolved　using　the　SDSCR　algorithm.　The　objective　evaluation　of　the　proposed　method　is　conducted　in　simulated　and　real　environments.　The　results　show　that　the　proposed　method　achieves　a　better　performance　compared　with　the　conventional　SSZ-based　method　both　in　sources　localization　and　counting.