一种基于联合稀疏约束的扫描雷达抗干扰超分辨成像方法
By employing full-range cell processing and sparse constraint methods, the super-resolution imaging problem of forward-looking scanning radar in interference environments was solved, achieving a combination of high-resolution imaging and interference suppression, thus improving imaging quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UNIV OF ELECTRONICS SCI & TECH OF CHINA
- Filing Date
- 2026-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing forward-looking scanning radars suffer from reduced super-resolution performance in jammed environments, making it difficult to simultaneously achieve high-resolution imaging and effective jamming suppression.
A method based on joint sparsity constraints is adopted. By processing the entire range cell, the sparse prior characteristics of the interference in the range and azimuth time domains are utilized to construct a sparse regularized reconstruction model. The fast iterative soft threshold and alternating direction multiplier method are used for joint solution to achieve accurate suppression of interference and efficient reconstruction of target scattering.
It can stably achieve accurate reconstruction of target scattering under interference environment, significantly improve azimuth resolution, effectively suppress interference, and avoid the defects of pulse-by-pulse and range-by-range cell processing.
Smart Images
Figure CN122172185B_ABST