The　spatial　correlation　of　ice-sounding　data　can　be　used　to　trace　internal　isochronic　layers　and　synchronize　the　age-depth　relationship　between　different　ice　core　sites,　which　is　difficult　using　existing　imaging　methods.　In　this　study,　we　propose　a　new　algorithm　to　address　the　opportunity　that　applying　spatial　correlation　to　ice-sheet　imaging　offers.　The　algorithm　is　a　spatial-correlation-based　ice-sounding　imaging　method　using　fast　back　projection　(FBP)　that　successfully　improves　the　spatial　correlation　of　imaging　results　with　high　efficiency.　We　give　the　specific　steps　to　implement　the　algorithm　and　apply　it　to　simulate　both　point　targets　and　ice-sounding　radar　data　to　demonstrate　its　validity　in　imaging　ice　sheets.　Furthermore,　compared　with　two　previous　methods,　the　proposed　algorithm　improves　the　spatial　correlation　without　degrading　the　ability　of　signal-to-noise　ratio　(SNR)　improvement　and　processing　efficiency.