According to the anomaly detection for ranging information of airborne TACAN in system which fused information of multi-source navigation, this article proposed a detection method based on One-Class SVM. First, the features space is built by extracting time domain features. Then, the model of normal state is built by training the One-Class SVM classifier. Anomaly information is detected by the trained model. The experimental results show that the proposed method has good performance in anomaly detection.