Co-prime array decomposition and fusion-based three-dimensional SAR sparse imaging method

The invention discloses a co-prime array decomposition and fusion-based three-dimensional SAR sparse imaging method; the method comprises the following steps of firstly, performing a compressed sensing iteration minimization sparse bayesian reconstruction (SBRIM) imaging algorithm on a co-prime array and a sub-array of the co-prime array for imaging separately to obtain three synthetic aperture radar images; and then, fusing the obtained imaging results to obtain a final array decomposition and fusion-based three-dimensional SAR sparse imaging result. According to the method, the advantages ofa co-prime sampling method and a compressed sensing sparse reconstruction method are combined; the sampling data can be reduced by utilizing the co-prime sampling; compared with a traditional randomsampling mode, the method has the advantages that the system is easier to realize; and compared with a traditional sparse imaging method, the method disclosed by the invention can effectively inhibitgrating lobes and false tar