Parameter measurement method for frequency modulation monitoring antenna
Through multi-dimensional data acquisition and intelligent analysis, the parameter measurement method of optimizing frequency modulation monitoring antennas using convolutional neural networks and generative adversarial networks is solved, and the problems of adaptive monitoring and accurate measurement in complex electromagnetic environments are achieved, and efficient environmental adaptation and signal optimization are achieved.
Patent Information
- Application Number
- CN202510748321.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-06
- Publication Date
- 2025-07-08
- Estimated Expiration
- 2045-06-06
AI Technical Summary
The existing parameter measurement methods of frequency modulation monitoring antennas have not been effectively adapted to complex electromagnetic environments, making it difficult to achieve adaptive optimization and accurate measurement.
Through multi-dimensional data acquisition and intelligent analysis, convolutional neural networks are used to identify interference features, combined with multi-objective optimization functions and generation adversarial networks to generate test signals, dynamically compensate backscatter signals, and optimize beam direction and scanning frequency.
It realizes adaptive monitoring and accurate measurement of complex electromagnetic environments, improves monitoring efficiency and measurement accuracy, has the ability to learn and adjust, and adapt to environmental changes and interference challenges.