A Novel Long-Time Coherent Integration Method for Moving Target Detection

Long-time coherent integration (LTCI) can remarkably improve the detection ability of radar for moving target. To increase the processing efficiency, this paper proposes a novel LTCI method based on segment time reversing transform (STRT) and chirp z-transform (CZT). In this method, STRT operation is first presented to estimate the Doppler ambiguity factor, and keystone transform (KT) is used to correct the whole range migration (RM). Then, CZT and non-uniform fast Fourier transform (NUFFT) are used to estimate the parameters as well as correct the second and third order Doppler frequency migration (DFM). Compared with the existing methods, the proposed method can achieve RM correction and DFM correction without repetitive operation. The effectiveness of the proposed method is validated by both simulated and real data.