一种机载雷达孔径天线罩多层曲面频选工艺对位设计方法
By optimizing the frequency selection cell period through deep learning models and partitioning expansion algorithms, and combined with the positioning hole design, the precise alignment of the multi-layer curved surface of the airborne radar aperture radome was achieved, solving the gap problem caused by the difference in curvature of the curved surface and improving electromagnetic stealth and radiation performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU XINGSHUI TECH CO LTD
- Filing Date
- 2026-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing technology, the multi-layer curved surface frequency-selective structure of the airborne radar aperture radome has alignment gaps due to the difference in curvature of the surface during installation, making it difficult to balance electromagnetic stealth and radiation performance.
A dual-axis periodic adaptive adjustment strategy based on a deep learning model is adopted, combined with a partitioning unfolding algorithm with area loss compensation and an array-type positioning hole design, to precisely adjust the period of the frequency selection unit, generate the optimal frequency selection array pattern, and achieve precise laying through the cooperation of positioning holes and positioning pins.
It effectively eliminates the alignment gaps in the multi-layer curved surface frequency-selective structure, improves the process alignment accuracy and processing quality, and ensures a balance between electromagnetic stealth and radiation performance.
Smart Images
Figure CN122133528B_ABST