Information entropy of coding metasurface

By T. Cui, Shuo Liu, Lianlin Li. Light: Science & Applications, 2016

312 citations recorded by the source corpus.

Because of their exceptional capability to tailor the effective medium parameters, metamaterials have been widely used to control electromagnetic waves, which has led to the observation of many interesting phenomena, for example, negative refraction, invisibility cloaking, and anomalous reflections and transmissions. However, the studies of metamaterials or metasurfaces are mainly limited to their physical features; currently, there is a lack of viewpoints on metamaterials and metasurfaces from the information perspective. Here we propose to measure the information of a coding metasurface using Shannon entropy. We establish an analytical connection between the coding pattern of an arbitrary coding metasurface and its far-field pattern. We introduce geometrical entropy to describe the information of the coding pattern (or coding sequence) and physical entropy to describe the information of the far-field pattern of the metasurface. The coding metasurface is demonstrated to enhance the information in transmitting messages, and the amount of enhanced information can be manipulated by designing the coding pattern with different information entropies. The proposed concepts and entropy control method will be helpful in new information systems (for example, communication, radar and imaging) that are based on the coding metasurfaces. The amount of information held in a reflection from a metasurface coded with a digital pattern can be analysed using the concept of entropy. While metamaterials have been widely used to control electromagnetic waves, they have been little studied from an information perspective. Tie Jun Cui of Southeast University in China and co-workers have discovered that the far-field reflection pattern of a metasurface is the Fourier transform of its coding pattern. Using full-wave numerical simulations, the team studied the behaviour of various metasurface patterns, including periodic, non-periodic and random codes. They found that the amount of information in the far-field reflection is controlled by the coding pattern. The entropy of the far-field reflection pattern increases with increasing entropy of the code. This approach could find application in multi-target radar, imaging systems and multichannel communication.

Subfields: Aerospace Engineering, Electronic, Optical and Magnetic Materials

View Paper: https://www.semanticscholar.org/paper/462209207e52c2205d5efea3f587985692f0d311

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Zhi Ning Chen
  2. Zhi Hao Jiang
  3. Yue Li
  4. Ziheng Zhou
  5. Ming-Chun Tang
  6. Cheng-Wei Qiu
  7. Ting Shi
  8. Jiafu Wang

In Electronic, Optical and Magnetic Materials

  1. Zhi Ning Chen
  2. Cheng-Wei Qiu
  3. Teng Li

Citations in the corpus