High-resolution radar range image reconstruction based on parameterized orthogonal matching pursuit algorithm
The frequency modulation rate error of radar linear frequency modulation(LFM)signal will lead to the mismatch of traditional matched filtering model,which significantly reduces the imaging effect of one-di-mensional range profile.Aiming at the sparse imaging problem of high-resolution one-dimensional range profile of wideband radar under the chirp rate error model,this paper proposes a high-resolution radar one-dimensional imaging method based on parameterized orthogonal matching pursuit algorithm.First,the method is used to deter-mine the range of frequency modulation parameters,and construct an optional set of frequency modulation param-eters.Then,based on the analytic relationship between the observation matrix of echo data and the frequency mod-ulation rate,a parameterized sparse observation matrix is constructed for each optional value,and a one-step or-thogonal matching pursuit iteration is performed.Finally,the frequency modulation rate parameters are gradually screened out based on the residual energy of the single step residual corresponding to the optional value of each parameter.The effectiveness of the proposed method is verified by simulation and experimental data.
万方数据
维普
