Multi-view fusion imaging algorithm for T/R-R radar of space targets
A T/R-R(transmitting receiving-receiving)radar sparse aperture multi-view fusion imaging method based on the complex Bayesian compressed sensing(BCS)algorithm is proposed for the practical imaging of T/R-R configuration radar,taking into account the orbital priors of space targets and the advantages of the dual-station inverse synthetic aperture radar(ISAR)imaging system.On the basis of establishing a dual station radar fusion imaging model,the proposed method utilizes Laplace priors to establish a sparse model of the target in the complex domain,improving the sparsity promotion effect of the algorithm and obtaining high-resolution target images.The simulation experiment results show that the proposed method can not only achieve multi-view fusion imaging of dual station radar,but also achieve multi-view fusion imaging of dual-station radar with sparse aperture respectively,further expanding the application scenarios and effectively improving azimuth resolution and imaging quality.
万方数据
维普
