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A Fast Evaluation Method for Electrical Performance of Frequency and Pattern Reconfigurable Microstrip Antenna Based
Pengying Xu1, Xiaoxian Xu1, Kabin Lin1
1Key Laboratory of Electronic Equipment Structure Design, Ministry of Education, Xidian University, Xi'an 710071, China.
This study introduces electromechanical coupling models for reconfigurable antennas, enabling precise control over frequency and beam direction. This innovation addresses limitations in current simulation methods for advanced communication systems.
Area of Science:
- Electromagnetics
- Antenna Theory
- Mechanical Engineering
Background:
- Increasing communication demands necessitate smaller, multifunctional antennas.
- Traditional antennas lead to increased platform size and electromagnetic interference.
- Reconfigurable antennas offer a solution by adapting frequency and beam direction.
Purpose of the Study:
- To develop and validate electromechanical coupling models for reconfigurable microstrip antennas.
- To overcome limitations of purely simulation-based design in reconfigurable antenna research.
- To enable accurate prediction of antenna performance based on structural changes.
Main Methods:
- Design of a reconfigurable antenna with dual resonant frequencies (8.66 GHz, 15.26 GHz) and steerable beams (36.2°, -36.5°).
- Establishment of resonance frequency and pattern function coupling models incorporating structural deformation.
- Experimental validation of the proposed electromechanical coupling models.
Main Results:
- The developed coupling models accurately predict antenna performance within engineering tolerances.
- Relative error between models and experimental results is less than 5%.
- Demonstrated the feasibility of electromechanical coupling theory for reconfigurable antenna design.
Conclusions:
- The proposed electromechanical coupling models provide a robust framework for designing reconfigurable antennas.
- This approach enhances the multifunctionality and electromagnetic compatibility of communication platforms.
- Experimental verification confirms the accuracy and practical applicability of the models.
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