Journal of Northeastern University(Natural Science) ›› 2025, Vol. 46 ›› Issue (4): 8-15.DOI: 10.12068/j.issn.1005-3026.2025.20230334

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Channel Estimation for UFMC System Based on J-SAWOMP Algorithm

Ce JI, Si-yu ZHANG   

  1. School of Computer Science & Engineering,Northeastern University,Shenyang 110169,China. Corresponding author: ZHANG Si-yu,E-mail: 1789837819@qq. com
  • Received:2023-12-15 Online:2025-04-15 Published:2025-07-01

Abstract:

Universal filtered multi-carrier (UFMC) is a multi-carrier modulation technology for 5G communication systems. In order to verify the advantages of the UFMC system and further improve the channel estimation effect, an adaptive orthogonal matching pursuit algorithm (J-SAWOMP) based on Jaccard similarity criterion is proposed, which uses the Jaccard similarity metric criterion to calculate the similarity coefficient between atoms, and optimizes the screening method of matching atoms, and selects the best atoms by using the weak threshold selection method. Finally, the backtracking idea is used to further select the atoms with better correlation to improve the accuracy of signal reconstruction. Experimental results show that compared with the classical match-chase algorithm, the J-SAWOMP algorithm has better channel estimation performance under the UFMC system.

Key words: Jaccard similarity, matching pursuit, channel estimation, universal filtered multi-carrier(UFMC), adaptive

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