Distributed SAR moving targets 3D imaging based on compressed sensing

Distributed SAR has the ability to obtain three-dimensional information of the moving targets, however, the moving targets imaging brings a heavy burden to the data storage and transmission system, and it is difficult to reconstruct signal, thus there is no perfect method to solve these problems. In order to solve these problems, this paper presents a distributed SAR moving targets 3D imaging method based on compressed sensing using over-complete dictionary and basis pursuit de-noiseing algorithm. The moving target 3D signal sparse decomposition process is derived, and then the moving targets 3D signal reconstruction method based on over-complete dictionary and basis pursuit is established. In the case of low amount of data, we realize the distributed SAR moving target high-resolution 3D imaging. Finally, the simulation results verify the correctness and validity of the proposed algorithm.