During the detection by Doppler weather radar, clutter jamming such as electromagnetic interference and superrefraction is often encountered. Based on the analysis of the regular characteristics of weak radial clutters, an algorithm of Doppler weather radar clutter identification based on fast Fourier transform (FFT) is proposed, which has been successfully applied to the identification of Doppler weather radar radial clutters. The results show that some clutters have an obvious law of spatial periodicity. The distribution of energy in frequency domain obtained by FFT of reflectivity factor is obviously different from that of conventional echo. Depending on these differences, some weak clutters can be identified and excluded. This method has a good identification ability for radial clutters with discrete distribution, but a weak identification ability for relatively uniform and dense radial clutters.