Abstract: To solve the difficulty in capturing highly dynamic double-binary offset carrier signals in narrowband interference environment, a capture algorithm combining singular value decomposition, the minimum description length criterion, discrete polynomial phase transformation, partial matching filter and fractional Fourier transform plus spectrum correction is proposed. First, the singular value decomposition is used to divide the signal containing narrowband interference into signal subspace and interference subspace, and the minimum description length criterion is used to determine the boundary between target signal and interference signal, and the interference suppression is adaptively completed. Then, the order algorithm is used to determine the dynamic order of the signal to complete the downgrading. Finally the capture of the signal containing only the first-order Doppler rate of change is completed. The simulation results show that the proposed algorithm can easily complete the precise suppression of interference while retaining the original signal characteristics, and the performance is stable. In addition, the proposed capture algorithm improves the capture probability by about 2 dB gain compared with uncorrected under the same conditions

Key words: narrowband interference , singular value decomposition , minimum description length criterion, fractional Fourier transform ,  , ratio correct