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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhou, Yulong Cao, Xiang yu Gao, Jun Li, Sijia Liu, Xiao |
| Abstract | A coding metasurface is proposed for reducing radar cross section (RCS) under grazing incidence. Two elements with different reflection phases are selected for the metasurface, and 7 × 7 artificial magnetic conductor unit cells are utilised to construct a metamaterial block. Then the arrangement of blocks is optimised by particle swarm algorithm (PSA). The phase difference between two elements contributes to RCS reduction under grazing incidence. The obtained results demonstrate that a wideband RCS reduction is achieved by the coding metasurface ranging from 6 to 13 GHz. In addition, the monostatic RCS reduction is also achieved under a grazing incidence. For x-polarised incidence, the monostatic RCS reduction is >6 dB from 77° to 90°. For y-polarised incidence, the monostatic RCS reduction is >6 dB from 69° to 80°, and the maximum reduction is 17.5 dB under the 75° incident angle. |
| Starting Page | 1381 |
| Ending Page | 1383 |
| Page Count | 3 |
| ISSN | 00135194 |
| Volume Number | 53 |
| e-ISSN | 1350911X |
| Issue Number | Issue 20, Sep (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/53/20 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2017.2414 |
| Journal | Electronics Letters |
| Publisher Date | 2017-09-11 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Artificial Magnetic Conductor Unit Cell Code Coding Metasurface Encoding Frequency 6 GHz to 13 GHz Frequency Selective Surface Gain 17.5 DB Grazing Incidence Metamaterial Block Microwave MetaMaterial Monostatic RCS Reduction Optimisation Technique Particle Swarm Algorithm Particle Swarm Optimisation PSA Radar Cross Section Radar Theory Wideband Radar Cross Section Reduction Wideband RCS Reduction X-Polarised Incidence Y-Polarised Incidence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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