Submit Manuscript
Peer Review
Editor Work
| Citation: | LI Lianlin and CUI Tiejun. Recent progress in intelligent electromagnetic sensing[J]. Journal of Radars, 2021, 10(2): 183–190. doi: 10.12000/JR21049
|
-
Abstract
Intelligent electromagnetic sensing, which is based on electromagnetic imaging, aims to realize the real-time and smart imaging and recognition of objects of interest. Thus, intelligent electromagnetic sensing has been applied in many areas, including science, engineering, and the military. Recently, we explored the unique capabilities of artificial intelligence and artificial materials in the flexible manipulation of electromagnetic information and electromagnetic wavefields, respectively. Further, we developed several interesting schemes for intelligent electromagnetic sensing by fully incorporating artificial intelligence with artificial materials, particularly information metamaterials. Thus, several intelligent electromagnetic sensing systems, which exhibit interesting properties, like low hardware cost and high efficiency, have been developed. The proposed sensing strategies are expected to pave the way for wireless communications, smart homes, and other future applications. -
-
References
[1] SMITH D R, PADILLA W J, VIER D C, et al. Composite medium with simultaneously negative permeability and permittivity[J]. Physical Review Letters, 2000, 84(18): 4184–4187. doi: 10.1103/PhysRevLett.84.4184[2] PENDRY J B. Negative refraction makes a perfect lens[J]. Physical Review Letters, 2000, 85(18): 3966–3969. doi: 10.1103/PhysRevLett.85.3966[3] SHELBY R A, SMITH D R, and SCHULTZ S. Experimental verification of a negative index of refraction[J]. Science, 2001, 292(5514): 77–79. doi: 10.1126/science.1058847[4] PENDRY J B, SCHURIG D, and SMITH D R. Controlling electromagnetic fields[J]. Science, 2006, 312(5781): 1780–1782. doi: 10.1126/science.1125907[5] SCHURIG D, MOCK J J, JUSTICE B J, et al. Metamaterial electromagnetic cloak at microwave frequencies[J]. Science, 2006, 314(5801): 977–980. doi: 10.1126/science.1133628[6] MA Huifeng and CUI Tiejun. Three-dimensional broadband ground-plane cloak made of metamaterials[J]. Nature Communications, 2010, 1(3): 21.[7] JIANG Weixiang, CUI Tiejun, YANG Xinmi, et al. Shrinking an arbitrary object as one desires using metamaterials[J]. Applied Physics Letters, 2011, 98(20): 204101. doi: 10.1063/1.3590203[8] MA Huifeng and CUI Tiejun. Three-dimensional broadband and broad-angle transformation-optics lens[J]. Nature Communications, 2010, 1: 124. doi: 10.1038/ncomms1126[9] YU Nanfang, GENEVET P, KATS M A, et al. Light propagation with phase discontinuities: Generalized laws of reflection and refraction[J]. Science, 2011, 334(6054): 333–337. doi: 10.1126/science.1210713[10] AIETA F, GENEVET P, YU Nanfang, et al. Out-of-plane reflection and refraction of light by anisotropic optical antenna metasurfaces with phase discontinuities[J]. Nano Letters, 2012, 12(3): 1702–1706. doi: 10.1021/nl300204s[11] KHORASANINEJAD M, CHEN Weiting, DEVLIN R C, et al. Metalenses at visible wavelengths: Diffraction-limited focusing and subwavelength resolution imaging[J]. Science, 2016, 352(6290): 1190–1194. doi: 10.1126/science.aaf6644[12] CONG Longqing, PITCHAPPA P, LEE C, et al. Active phase transition via loss engineering in a terahertz MEMS metamaterial[J]. Advanced Materials, 2017, 29(26): 1700733. doi: 10.1002/adma.201700733[13] CUI Tiejun, QI Meiqing, WAN Xiang, et al. Coding metamaterials, digital metamaterials and programmable metamaterials[J]. Light: Science & Applications, 2014, 3(10): e218.[14] CUI Tiejun, LIU Shuo, and ZHANG Lei. Information metamaterials and metasurfaces[J]. Journal of Materials Chemistry C, 2017, 5(15): 3644–3668. doi: 10.1039/C7TC00548B[15] CUI Tiejun, LIU Shuo, and LI Lianlin. Information entropy of coding metasurface[J]. Light: Science & Applications, 2016, 5(11): e16172.[16] CUI Tiejun. Microwave metamaterials–from passive to digital and programmable controls of electromagnetic waves[J]. Journal of Optics, 2017, 19(8): 084004. doi: 10.1088/2040-8986/aa7009[17] LI Lianlin and CUI Tiejun. Information metamaterials-from effective media to real-time information processing systems[J]. Nanophotonics, 2019, 8(5): 703–724. doi: 10.1515/nanoph-2019-0006[18] MA Qian and CUI Tiejun. Information metamaterials: Bridging the physical world and digital world[J]. PhotoniX, 2020, 1(1): 1. doi: 10.1186/s43074-020-00006-w[19] CUI Tiejun, LI Lianlin, LIU Shuo, et al. Information metamaterial systems[J]. iScience, 2020, 23(8): 101403. doi: 10.1016/j.isci.2020.101403[20] LIU Shuo, CUI Tiejun, ZHANG Lei, et al. Convolution operations on coding metasurface to reach flexible and continuous controls of terahertz beams[J]. Advanced Science, 2016, 3(10): 1600156. doi: 10.1002/advs.201600156[21] SHUANG Ya, ZHAO Hanting, JI Wei, et al. Programmable high-order OAM-carrying beams for direct-modulation wireless communications[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2020, 10(1): 29–37. doi: 10.1109/JETCAS.2020.2973391[22] LI Lianlin, CUI Tiejun, JI Wei, et al. Electromagnetic reprogrammable coding-metasurface holograms[J]. Nature Communications, 2017, 8(1): 197. doi: 10.1038/s41467-017-00164-9[23] CUI Tiejun, LIU Shuo, BAI Guodong, et al. Direct transmission of digital message via programmable coding metasurface[J]. Research, 2019, 2019: 2584509.[24] LI Lianlin, RUAN Hengxin, LIU Che, et al. Machine-learning reprogrammable metasurface imager[J]. Nature Communications, 2019, 10(1): 1082. doi: 10.1038/s41467-019-09103-2[25] LI Lianlin, SHUANG Ya, MA Qian, et al. Intelligent metasurface imager and recognizer[J]. Light: Science & Applications, 2019, 8: 97.[26] LI Lianlin, WANG Longgang, TEIXEIRA F L, et al. DeepNIS: Deep neural network for nonlinear electromagnetic inverse scattering[J]. IEEE Transactions on Antennas and Propagation, 2019, 67(3): 1819–1825. doi: 10.1109/TAP.2018.2885437[27] ZHAO Hanting, SHUANG Ya, WEI Menglin, et al. Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals[J]. Nature Communications, 2020, 11(1): 3926.[28] LI Haoyang, ZHAO Hanting, WEI Menglin, et al. Intelligent electromagnetic sensing with learnable data acquisition and processing[J]. Patterns, 2020, 1(1): 100006. doi: 10.1016/j.patter.2020.100006 -
Proportional views
- Publishing Ethics
- Journal Insights
- Abstracting & Indexing
- Peer Review Policies
- Guide for Authors
- Conference
- ISSN 2095-283X (Print)ISSN 2097-339X (Online)
- CN 10-1030/TN
- CODEN LXEUAO
About Journal
- Sponsor: China Radio Detection and Ranging Industry Association (CRIA)
- Phone: 010-58887062
- Email：radars@aircas.ac.cn
- Publisher: Leida Xuebao Bianjibu (Editorial office of the Journal of Radars)
Contacts Us
京ICP备20021838号-8
Supported by: Beijing Renhe Information Technology Co. Ltd
Export File
Citation
Format
Content
DownLoad:
- Figure 1. Concepts and Results of the first programmable digital coding metamaterials[13]
- Figure 2. The history and trend of information metamaterials[19]
- Figure 3. The imaging principle and results of intelligent electromagnetic sensing driven by classical machine learning[24]
- Figure 4. The imaging principle and results of intelligent electromagnetic sensing driven by deep learning[25].
- Figure 5. The schematic diagram of intelligent electromagnetic sensing integrated with data acquisition and processing[28]
- Figure 6. Some results of intelligent sensing integrated with data acquisition and processing[25]