In　this　paper,　linear　spatial　autoregressive　(SAR)　models　with　covariate　measurement　errors　are　studied.　A　three-stage　least　squares　(3SLS)　estimation　method　both　with　Berkson＇s　and　classical　types　of　instrumental　variables　is　proposed　and　asymptotic　normality　of　the　proposed　estimator　using　each　type　of　instrumental　variables　is　derived　under　mild　conditions.　Simulation　studies　are　conducted　to　investigate　the　finite　sample　performance　of　the　proposed　estimator.　A　real　data　example　is　used　to　illustrate　the　developed　method.　(c)　2022　Elsevier　Inc.　All　rights　reserved.