Abstract:A flutter modal parameters identification method using continuous wavelet transform is presented, which is applied to flight flutter testing excited by linear sweep. This method firstly employs fractional Fourier transform to filter noisy data, and then derives the impulse response from estimated frequency response function. Lastly, Continuous wavelet transform is used to extract modal parameter from impulse response. For reasons of local property of linear sweep in fractional Fourier domain and bandwidth property of Morlet wavelet, the proposed method is particularly efficient when dealing with significantly noisy data. The performance and the required conditions of using this method are discussed. Finally, the efficiency of this method is illustrated by real flight data.