The invention discloses a
deconvolution method for realizing scanning
radar azimuth super-resolution imaging. Step one, forward-looking scanning
radar echo modeling is performed; step two, range direction
pulse compression processing is performed; step three, range wall determination is performed; step four, range walk correction is performed; step five, scanning
radar azimuth direction echo modeling is performed; and step six,
convolution inversion based on the maximum
posterior probability criterion is performed. The beneficial effects are that an
azimuth echo
convolution model is established, an
algorithm iteration expression is derived based on the maximum
posterior probability criterion through combination of
prior information and a likelihood function,
low frequency is reconstructed,
high frequency is recovered, an iterative solution is obtained by utilizing
frequency spectrum extrapolation property, a problem of spectrum loss caused by
noise and antenna low-pass property is overcome, a high-frequency component is acquired by utilizing nonlinear operation separation and super-resolution imaging is realized. Besides,
frequency domain spectrum width and a change trend diagram of
frequency domain integral sidelobe comparison number of iterations are provided by utilizing the
frequency spectrum extrapolation property, and finally
convolution inversion is realized and the inversion result is used for realizing scanning radar super-resolution imaging.