In　this　paper,　we　consider　the　problem　of　estimating　the　directions-of-arrival　(DOAs)　and　ranges　of　multiple　near-field　narrowband　signals　impinging　on　a　symmetric　uniform　linear　array　(ULA)　in　nonuniform　noise　in　practical　applications.　By　forming　a　Toeplitz-like　correlation　matrix　from　the　anti-diagonal　elements　of　the　array　covariance　matrix　to　convert　the　nonuniform　noise　to　a　uniform　one,　a　new　subspace-based　localization　method　is　proposed,　where　the　null　space　is　obtained　through　eigendecomposition　of　the　resultant　Toeplitz-like　matrix,　and　the　MUSIC　method　is　used　to　estimate　the　location　parameters,　while　a　new　pairing　scheme　is　presented　as　well.　Additionally,　an　oblique　projector　based　alternating　iteration　is　presented　to　improve　the　estimation　accuracy　of　the　location　parameters,　where　the　＂saturation　behavior＂　encountered　in　most　of　localization　methods　is　solved　effectively.　Furthermore,　the　Cramer-Rao　lower　bound　(CRB)　for　the　near-field　signals　in　unknown　nonuniform　noise　is　also　derived　explicitly.　Finally,　the　effectiveness　of　the　proposed　method　is　verified　through　numerical　examples.