Abstract: Aiming at the problem that the existing multi-station time difference of arrival(TDOA) sorting method could not deal with the mismatching pulse signals, which led to the high missing alarm rate, a radar signal sorting method based on data field clustering and TDOA was proposed. Firstly, the radar pulses intercepted by multiple receivers are paired and the multi-station TDOA sorting is completed. Then the data field is used to remove the noise pulse from the mismatch pulse set, and the number of clustering and the initial clustering center are obtained. Finally, K-means algorithm is used to calculate the Euclidean distance between pulses and each cluster center, and the pulses are divided into the pulse set where the nearest cluster center is, to complete the final sorting. The simulation results show that, compared with the existing multi-station TDOA sorting methods, the proposed method can effectively process the mismatched pulses which can only be intercepted by one receiver, and the missing alarm rate is reduced by 30.30%, and the accuracy of pulse processing is improved by 25.07%. At the same time, compared with the traditional k-means algorithm, the introduction of data field not only reduces the influence of interference pulse on the clustering results, but also can obtain the initial clustering center and the number of clustering, so as to avoid the clustering results falling into local optimal.