Abstract:

Two detection schemes for a spatially distributed range walking target during the coherent processing interval (CPI) are proposed. The first detector, twostep generalized likelihood rate test (2SGLRT), is acquired by estimating the signal from every range cell at different given velocity with the generalized likelihood function(GLF) criterion and maximum likelihood (ML) method. Furthermore, the second detector, improved threestep  generalized likelihood rate test (I3SGLRT), is derived by utilizing the characteristic of strong scattering cells relevant to the target’s scattering geometry and the correlation of adjacent given velocities. For both 2SGLRT and I3SGLRT, the detectors have the constant false alarm rate(CFAR). Finally, experimental results for measured data of two planes illustrate that the proposed algorithms achieve the visible performance improvement comparing with a conventional noncoherent integration algorithm in the presence of range walking.