Waveform Selectivity at the Same Frequency

Abstract

Electromagnetic properties depend on the composition of materials, i.e. either angstrom scales of molecules or, for metamaterials, subwavelength periodic structures. Each material behaves differently in accordance with the frequency of an incoming electromagnetic wave due to the frequency dispersion or the resonance of the periodic structures. This indicates that if the frequency is fixed, the material always responds in the same manner unless it has nonlinearity. However, such nonlinearity is controlled by the magnitude of the incoming wave or other bias. Therefore, it is difficult to distinguish different incoming waves at the same frequency. Here we present a new concept of circuit-based metasurfaces to selectively absorb or transmit specific types of waveforms even at the same frequency. The metasurfaces, integrated with schottky diodes as well as either capacitors or inductors, selectively absorb short or long pulses, respectively. The two types of the circuit elements are then combined to absorb or transmit specific waveforms in between. This waveform selectivity gives us another freedom to control electromagnetic waves in various fields including wireless communications, as our simulation reveals that the metasurfaces are capable of varying bit error rates in response to waveforms.

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• Waveform-Selective Mantle Cloaks for Intelligent Antennas
• Waveform Selective Surfaces
• Pulse-Driven Self-Reconfigurable Meta-Antennas
• Experimental demonstration of waveform-selective metasurface varying wireless communication characteristics at the same frequency band of 2.4 GHz
• Simplified equivalent circuit approach for designing time-domain responses of waveform-selective metasurfaces
• Waveform-selective metasurfaces with normal waves at the same frequency
• Method for Extracting the Equivalent Admittance from Time-Varying Metasurfaces and Its Application to Self-Tuned Spatiotemporal Wave Manipulation
• Metasurface Sensing Difference in Waveforms at the Same Frequency with Reduced Power Level
• Metasurfaces for Efficient Digital Noise Absorption
• Pseudo-Waveform-Selective Metasurfaces and Their Limited Performance