相控阵校准方法、装置、电子设备及计算机存储介质
By using an aperture field distribution compensation model and a neural network model, the problem of interference sources not being accounted for in phased array calibration was solved, achieving higher calibration accuracy and efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING BOE SENSOR TECH CO LTD
- Filing Date
- 2021-07-30
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, phased array calibration methods fail to effectively account for the influence of interference sources, resulting in reduced calibration accuracy.
An aperture field distribution compensation model is adopted. By obtaining the initial aperture field distribution of the phased array when the interference source is not compensated, the influence characteristics of the interference source are learned by using a neural network model, the target aperture field distribution when the interference source is compensated is predicted, and the phased array is calibrated based on this.
This improves the accuracy of phased array calibration, avoids the problems of low testing efficiency of near-field scanning method and long calculation time of adaptive compensation algorithm, and achieves efficient and accurate calibration.
Smart Images
Figure CN115694682B_ABST