Design and Analysis of Multi-Layer and Cuboid Coding Metamaterials for Radar Cross-Section Reduction

Area of Science:

• Electromagnetics and Materials Science
• Metamaterials Engineering

Background:

• Analogue metamaterials are typically defined by effective medium parameters.
• Radar Cross-Section (RCS) reduction is crucial for stealth applications.

Purpose of the Study:

• To develop and investigate coding metamaterials for RCS reduction in C- and Ku-band frequencies.
• To explore multi-layer and cuboid designs for optimal electromagnetic wave manipulation.

Main Methods:

• Utilized Computer Simulation Technology (CST) for high-frequency electromagnetic simulations.
• Adopted a one-bit coding metamaterial concept with '0' and '1' states (0 and π phase responses).
• Validated simulation results using High-Frequency Structure Simulator (HFSS) for phase-response comparison.

Main Results:

• Achieved significant RCS reduction, nearing 0 dBm² with several one-bit coding metamaterial designs.
• Larger lattice designs demonstrated optimized performance for scalable applications.
• Validated framework and characteristic analyses confirmed effectiveness in C- and Ku-bands.

Conclusions:

• Coding metamaterials offer unique RCS reduction capabilities through electromagnetic wave manipulation.
• Developed designs show high potential for diverse applications requiring stealth functionalities.
• The study highlights the versatility of coding metamaterials in achieving tailored electromagnetic performance.