Channel estimation for OFDM systems with subspace persuit algorithm

Wen-Rong Wu*, Ruey Ching Chiueh, Fan Shuo Tseng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Signal recovery techniques for compressive sampling, such as matching pursuit (MP), orthogonal MP (OMP), and linear programming (LP), have been developed and applied to the spare channel estimation problem in orthogonal-frequency-division-multiplexed (OFDM) systems. In this paper, we first propose using a newly developed algorithm, subspace pursuit (SP), for the channel estimation problem. It is shown that the SP algorithm can outperform the MP, OMP, and LP algorithms. However, the SP algorithm will fail if the number of the pilots is small. We then propose a decision-feedback method, referred to as the pseudo-pilot assisted (PA) SP, which can be used in low pilot-density scenarios. Simulations show that the proposed PASP can significantly improve the performance of channel estimation when the number of pilots is small.

Original languageEnglish
Title of host publication1st International Conference on Green Circuits and Systems, ICGCS 2010
Pages269-272
Number of pages4
DOIs
StatePublished - 20 Sep 2010
Event1st International Conference on Green Circuits and Systems, ICGCS 2010 - Shanghai, China
Duration: 21 Jun 201023 Jun 2010

Publication series

Name1st International Conference on Green Circuits and Systems, ICGCS 2010

Conference

Conference1st International Conference on Green Circuits and Systems, ICGCS 2010
CountryChina
CityShanghai
Period21/06/1023/06/10

Keywords

  • Compressive sampling (CS)
  • Matching pursuit (MP)
  • Orthogonal MP (OMP)
  • Orthogonal frequency division multiplexed (OFDM)
  • Sparse channel estimation
  • Subspace pursuit (SP)

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