Radar maneuvering target detection and motion parameter estimation based on TRT-SGRFT

In this paper, we address the detection and motion parameter estimation problem for a maneuvering target with complex motions, where range migration (RM, including range walk and range curvature) and Doppler frequency migration (DFM) occur during the coherent observation time. A method based on time reversing transform (TRT) and special generalized Radon Fourier transform (SGRFT), i.e., TRT-SGRFT, is proposed to achieve the detection and motion parameters estimation. More specifically, the TRT is firstly applied to separate the motion parameters and reduce the order of RM and DFM. Then the SGRFT operation is employed to estimate part of the motion parameters. After that, the residual motion parameters could be achieved via the second SGRFT operation. The advantage of the TRT-SGRFT algorithm is that it could avoid the blind speed sidelobe (BSSL) effect and obtain a good tradeoff between the computational cost and estimation performance, in comparison with generalized Radon Fourier transform. Several numerical experiments are provided to demonstrate the its effectiveness.