Azimuth RCS Reconstruction Based on SPICE Algorithm

Aiming at the problem of long measurement period and high cost in anechoic chambers, an azimuth RCS reconstruction method based on sparse iterative covariance estimation (SPICE) criterion is proposed, on the deduction that the two-dimensional (2D) geometrical theory of diffraction (GTD) scattering model can be equivalently converted into N one-dimensional (1D) undamped exponential (UE) scattering models. The proposed method can avoid the selection of regularization parameters and has good RCS reconstruction performance under low sparse conditions. Simulation results verify the effectiveness of the method}.