Inverse synthetic aperture radar imaging of three-dimensional rotation target based on two-order match Fourier transform PROJECT TITLE :Inverse synthetic aperture radar imaging of three-dimensional rotation target based on two-order match Fourier transformABSTRACT:A novel approach for inverse synthetic aperture radar (ISAR) imaging of three-dimensional (3-D) rotation target is presented in this study. It is based on the assumption that the manoeuverability is not too severe, and the received signal in a range bin can be characterised as multi-component linear frequency modulated (LFM) signal. The two-order match Fourier transform (TMFT) is used to estimate the parameters of the LFM signal, and the asymptotic statistical performance is analysed simultaneously. Combined with the Range-instantaneous-Doppler (RID) algorithm, the high-quality instantaneous ISAR images can be obtained. The results of simulated and real data demonstrate the effectiveness of the method proposed. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Image denoising by random walk with restart kernel and non-subsampled contourlet transform Adaptive edge-preserving denoising by point-wise wavelet basis selection