Research on 3D synthetic aperture radar imaging of frequency diversity array based on deconvolution algorithm

A synthetic aperture radar three-dimensional imaging system based on frequency diversity array (3D-FDA-SAR) has the characteristics of low cost and flexible transmission signal and is used in 3D imaging of complex environments. However, due to the range-angle dependence of the frequency diversity array (FDA), the information in each dimension will be coupled with each other when imaging the target, and the space-time-frequency sparse characteristic of the echo signal leads to high side lobes in the imaging results. In this paper, the deconvolution algorithm is applied to the imaging of 3D-FDA-SAR, the coupling is removed according to the coupling generation characteristics, and the effect of reducing side lobes is achieved at the same time. Using MATLAB simulation and comparing the simulation results with the simulation using the BP algorithm directly, the results show that the 3D-FDA-SAR after adding the algorithm in this paper has a better effect on multi-target imaging and is more suitable for the real imaging environment.