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Differential characteristics based iterative multiuser detection for wireless sensor networks

  • Xiaoguang Chen
  • , Xu Jiang
  • , Zhilu Wu*
  • , Shufeng Zhuang
  • *Corresponding author for this work
  • School of Astronautics, Harbin Institute of Technology
  • China Aerospace Science and Technology Corporation
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

High throughput, low latency and reliable communication has always been a hot topic for wireless sensor networks (WSNs) in various applications. Multiuser detection is widely used to suppress the bad effect of multiple access interference in WSNs. In this paper, a novel multiuser detection method based on differential characteristics is proposed to suppress multiple access interference. The proposed iterative receive method consists of three stages. Firstly, a differential characteristics function is presented based on the optimal multiuser detection decision function; then on the basis of differential characteristics, a preliminary threshold detection is utilized to find the potential wrongly received bits; after that an error bit corrector is employed to correct the wrong bits. In order to further lower the bit error ratio (BER), the differential characteristics calculation, threshold detection and error bit correction process described above are iteratively executed. Simulation results show that after only a few iterations the proposed multiuser detection method can achieve satisfactory BER performance. Besides, BER and near far resistance performance are much better than traditional suboptimal multiuser detection methods. Furthermore, the proposed iterative multiuser detection method also has a large system capacity.

Original languageEnglish
Article number388
JournalSensors
Volume17
Issue number2
DOIs
StatePublished - 16 Feb 2017
Externally publishedYes

Keywords

  • Differential characteristics
  • Error bit correction
  • Iterative multiuser detection
  • Threshold detection

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