研究目的
To design multiband FSS with close resonance frequencies using a multifractal Cantor curve, allowing the construction of structures with multiple ratios between adjacent resonance frequencies, i.e., multiple fractal dimensions.
研究成果
The proposed modified multifractal Cantor geometry for FSS design allows for multiband operation with multiple frequency ratios between adjacent bands. The structure increases the degree of freedom in design according to the number of fractal iterations. A good agreement between simulated and measured results was obtained, with a prediction equation for resonance frequencies showing low error. The structure is applicable in C-band and X-band for passive RFID tag applications.
研究不足
The manufacturing process may introduce errors, especially in smaller dimensions, leading to differences in higher frequencies. A better manufacturing process is necessary to minimize these errors.
1：Experimental Design and Method Selection:
The design of FSS is started with an initiator of dimensions W and L. On this element is applied a set of linear transformations to create a modified multifractal Cantor geometry. The validation of the proposed structure was initially verified through simulations in Ansoft Designer 3.
2：Sample Selection and Data Sources:
5.
2. Sample Selection and Data Sources: A prototype was built with a validation purpose, using a FR4 substrate with specific dimensions and properties.
3：List of Experimental Equipment and Materials:
Ansoft Designer software for simulations, FR4 substrate (εr = 4.4) with thickness of 1.6 mm and loss tangent delta= 0.02 for the prototype.
4：4) with thickness of 6 mm and loss tangent delta= 02 for the prototype.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The FSS design process involves applying linear transformations to the initiator to achieve the desired multifractal geometry. Simulations were performed to analyze the effect of dielectric relative permittivity on the FSS response.
5：Data Analysis Methods:
The resonance frequencies obtained from simulations were compared with predicted values using a developed formula. The percent errors between simulated and predicted frequencies were analyzed.
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