In　most　of　the　existing　sound　source　location　methods,　the　final　result　only　contains　the　direction　of　arrival　(DOA)　of　the　sound　source　but　does　not　contain　the　relative　distance　of　the　sound　source.　In　order　to　get　the　true　position　of　the　sound　source,　this　paper　proposes　a　multi-sound　source　position　estimation　method　based　on　sparse　component　correlation　in　the　microphone　recorded　signal.　The　method　uses　two　soundfield　microphones　to　estimate　the　positions　of　the　sound　sources.　In　this　method,　firstly,　DOA　estimate　of　sound　sources　is　obtained　by　the　single　source　point　(SSP)　detection　method.　Then,　the　paper　analyzes　the　relation　between　the　single-source　components　by　the　correlation　coefficient　and　counting　method　respectively,　and　finally　obtains　the　actual　position　of　the　sound　source.　Finally,　the　good　performance　of　the　position　estimation　method　based　on　counting　is　verified　by　experiments.　©　2021　ACM.