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- Title
Multi-view fusion imaging algorithm for T/R-R radar of space targets.
- Authors
GUO Baofeng; JIAO Liting; LI Sheng; ZHU Xiaoxiu; XUE Dongfang; SUN Huixian
- Abstract
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-rotation inverse synthetic aperture radar (ISAR) imaging system. On the basis of establishing a dual rotation radar fusion imaging modal, the proposed method utilizes Laplace priors to establish a sparse model of the target in the complex domain, improving the sparsity promotion effort of the algorithm and obtaining high-resolution target images. The stimulation experiment resets 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.
- Subjects
INVERSE synthetic aperture radar; RADAR targets; IMAGING systems; IMAGE fusion; COMPRESSED sensing; SYNTHETIC aperture radar
- Publication
Systems Engineering & Electronics, 2024, Vol 46, Issue 9, p3019
- ISSN
1001-506X
- Publication type
Article
- DOI
10.12305/j.issn.1001-506X.2024.09.14