ETRI Journal

  • 제40권2호
  • /
  • Pages.237-245
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  • 2018
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Broadband Spectrum Sensing of Distributed Modulated Wideband Converter Based on Markov Random Field

  • Li, Zhi (College of Electronics and Information Engineering, Sichuan University) ;
  • Zhu, Jiawei (College of Electronics and Information Engineering, Sichuan University) ;
  • Xu, Ziyong (College of Electronics and Information Engineering, Sichuan University) ;
  • Hua, Wei (College of Electronics and Information Engineering, Sichuan University)
  • 투고 : 2017.06.28
  • 심사 : 2018.02.24
  • 발행 : 2018.04.01
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초록

The Distributed Modulated Wideband Converter (DMWC) is a networking system developed from the Modulated Wideband Converter, which converts all sampling channels into sensing nodes with number variables to implement signal undersampling. When the number of sparse subbands changes, the number of nodes can be adjusted flexibly to improve the reconstruction rate. Owing to the different attenuations of distributed nodes in different locations, it is worthwhile to find out how to select the optimal sensing node as the sampling channel. This paper proposes the spectrum sensing of DMWC based on a Markov random field (MRF) to select the ideal node, which is compared to the image edge segmentation. The attenuation of the candidate nodes is estimated based on the attenuation of the neighboring nodes that have participated in the DMWC system. Theoretical analysis and numerical simulations show that neighboring attenuation plays an important role in determining the node selection, and selecting the node using MRF can avoid serious transmission attenuation. Furthermore, DMWC can greatly improve recovery performance by using a Markov random field compared with random selection.

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참고문헌

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