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Aiming at the RSSI localization method has the detects of inaccuracy of localization, owing to the noise error of barrier interrupt between transmitting sensor node and receiving sensor node, a node localization algorithm based on Gaussian mixture model correcting distance error and EM-SOM is proposed. Firstly, the Gaussian mixture model is used to model the error of the RSSI distance, EM method is used to train the weight, mean value and covariance of all the Gaussian function. The self-organizing SOM is used to cluster for the distance sample, so the initial weights of all the Gaussian model are obtained. Finally, the measured distance is input the Gaussian mixture model to get the final distance value, and then the maximum likelihood estimation is introduce to get the position of all the nodes. The experiment result shows it can realize the sensor node localization, and compared with the other methods, it has the advantage of less average localization error and mean root error, therefore, it has big priority over the other methods. 