The uncertainty of observers’ positions can lead to significantly degrading in source localization accuracy. This paper proposes a method of using self-location for calibrating the positions of observer stations in source localization to reduce the errors of the observer positions and improve the accuracy of the source localization. The relative distance measurements of the two coordinative observers are used for the linear minimum mean square error(LMMSE) estimator. The results of computer simulations prove the feasibility and effectiveness of the proposed method. With the general estimation errors of observers’ positions,the MSE of the source localization with self-location calibration,which is significantly lower than that without self-location calibration, is approximating to the Cramer-Rao lower bound(CRLB). The uncertainty of observers’ positions can lead to significantly degrading in source localization accuracy. This paper proposes a method of using self-location for calibrating the positions of observer stations in source localization to reduce the errors of the observer positions and improve the accuracy of the source localization. The relative distance measurements of the two coordinative observers are used for the linear minimum mean square error (LMMSE) estimator. The results of computer simulations prove the feasibility and effectiveness of the proposed method. With the general estimation errors of observers’ , the MSE of the source localization with self-location calibration, which is significantly lower than that without self-location calibration, is approximating to the Cramer-Rao lower bound (CRLB).