Aiming at the problem that the fault traveling wave head of transmission line is difficult to identify and easy to generate spectrum aliasing in fault location, a fault location method based on Synchrosqueezing Wavelet Transform (SWT) is proposed. The SWT is used to extract the wavelet ridges of fault traveling wave to generate a set of Intrinsic Mode Type functions (IMTs). Then, the Hilbert transform is performed on the IMTs to extract the feature points of the fault point to achieve the purpose of calibrating the arrival time of the first wave head, and finally calculate the fault distance according to the double-ended ranging principle. Based on the accurate modal decomposition capability of SWT, the recognition of the high accuracy of the faulty traveling wave head and the effective suppression of spectral aliasing are realized. Compared with the traditional Hilbert Huang transform and wavelet transform, this method achieves high accuracy recognition of faulty traveling wave head and effective suppression of spectral aliasing. It has high ranging accuracy and is more robust to noise. The PSCAD simulation verifies the effectiveness of the proposed method, and the ranging result is less affected by the fault distance and transition resistance. This work is supported by National Natural Science Foundation of China (No. 71771111) and Guiding Program of Liaoning Natural Science Foundation (No. 201805500438).