Intelligent metasurface with frequency recognition for adaptive manipulation of electromagnetic wave

Area of Science:

• Electromagnetic wave manipulation
• Metasurface technology
• Adaptive electromagnetic control

Background:

• Intelligent metasurfaces offer advanced electromagnetic (EM) environment recognition and wave control.
• Existing intelligent metasurfaces lack frequency recognition for adaptive EM wave manipulation.

Purpose of the Study:

• To propose and demonstrate a frequency-recognition intelligent metasurface for precise spatial EM wave control.
• To enable adaptive manipulation of EM waves across agile frequencies in real-time.

Main Methods:

• Development of an active meta-atom with 2-bit phase and 1-bit amplitude coding capabilities.
• Integration of a real-time radio-frequency sensor and an adaptive feedback control system.
• Independent control of amplitude and phase for EM wave manipulation.

Main Results:

• The metasurface accurately recognizes incoming wave frequencies with high resolution.
• Demonstrated adaptive control for multiple frequency-agile manipulations including absorption, reflection, and deflection.
• Achieved precise frequency detection with a resolution of 0.02 GHz.

Conclusions:

• The proposed frequency-recognition intelligent metasurface enables autonomous, adaptive control of EM waves.
• This technology opens new possibilities for dynamic EM wave management and applications.
• The system successfully demonstrated self-defined multiple frequency agilities for manipulating reflected EM waves.