Short-Range Wireless Localization Based on Meta-Aperture Assisted Compressed Sensing

Tianyi Zhou, Huan Li, Dexin Ye, Jiangtao Huangfu, Shan Qiao, Yongzhi Sun, Weiqiang Zhu, Changzhi Li, Lixin Ran

Research output: Contribution to journalArticlepeer-review

7 Scopus citations


Wireless localization has become a hot topic in the area of microwave engineering. In this paper, we propose a new approach for short-range wireless localization based on meta-aperture and compressed sensing (CS). Utilizing the plasmonic dispersion of a magnetically uniaxial metamaterial, a pushpin-shaped autocorrelation characteristic of the localization system can be obtained to ensure high localization precision. Compared with existing realizations based on traveling wave excited, randomly arranged subwavelength resonant elements, our method uses a homogeneous aperture for the generation of randomized illumination. Based on the CS, localization can be obtained with much less data and much faster data processing than conventional methods. Simulation and experimental investigation are conducted, and the results demonstrate the effectiveness of the proposed approach. With the simple implementation for fast localization, our method has promising potential in practical applications.

Original languageEnglish
Article number7827162
Pages (from-to)2516-2524
Number of pages9
JournalIEEE Transactions on Microwave Theory and Techniques
Issue number7
StatePublished - Jul 2017


  • Autocorrelation
  • compressed sensing (CS)
  • metamaterial
  • wireless localization


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