We　present　a　new　method　for　spatial　soundfield　recording　based　on　the　application　of　compressed　sensing　theory.　The　major　problem　in　spatial　soundfield　recording　system　is　how　to　record　the　higher　order　harmonic　components　of　a　given　soundfield　using　as　few　as　possible　of　microphones.　The　proposed　method　is　under　the　assumption　that　the　soundfield　is　sparse　in　source　domain.　More　specifically,　based　on　the　general　model　of　soundfield,　we　apply　sparse　decomposition　to　the　harmonics,　which　are　calculated　according　to　the　sound　pressure　received　by　a　circular　microphone　array,　and　then　upscale　the　harmonics　to　higher　order.　Simulation　results　indicate　that　our　proposed　method　can　drastically　reduce　the　required　number　of　microphones　for　capturing　large　region　soundfield　compared　to　the　current　methods,　especially　in　high　frequencies.