In order to overcome the effects on the recognition performances caused by position and pose uncertainty of Synthetic Aperture Radar(SAR) targets, a new method for SAR target recognition was proposed based on one dimensional matched filtering. The target image was pre-processed based on the pose estimation, the similarity or distance between two sample images was defined based on the one dimensional matched filtering, and the nearest neighbor classifier was used. Experiments were conducted on the MSTAR public data set, and the recognition rates with and without knowledge of the target pose achieved 98.8% and 98.2% respectively. According to the experiment results, the proposed method outperforms the Support Vector Machine(SVM) method.