Application of sparse signal recovery to pilot-assisted channel estimation

Matthew Sharp, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

45 Scopus citations

Abstract

We examine the application of current research in sparse signal recovery to the problem of channel estimation. Specifically, using an Orthogonal Frequency Division Multiplexed (OFDM) transmission scheme with Pilot Symbol Assisted Modulation (PSAM), we consider the problem of identifying a frequency selective channel from a limited number Q out of a possible M tones of an OFDM symbol. The main observation is that if M is chosen as prime, one can identify the channel uniquely if Q ≥ 2T, where T is the number of nonzero taps in the frequency-selective channel. The identifiability result requires the minimization of the l0 norm, leading to an intractable combinatorial search problem. Several methods have been proposed to deal with these issues, and the one we examine involves l1 norm regularization known as basis pursuit [1]. We apply these methods specifically to the problem of estimating a frequency selective channel with PSAM. As a result, the bandwidth efficiency of the system is increased due to the sparsity of the channel.

Original languageEnglish (US)
Title of host publication2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
Pages3469-3472
Number of pages4
DOIs
StatePublished - Sep 16 2008
Externally publishedYes
Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV, United States
Duration: Mar 31 2008Apr 4 2008

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
CountryUnited States
CityLas Vegas, NV
Period3/31/084/4/08

Keywords

  • Channel estimation
  • OFDM
  • PSAM
  • Sparse signal recovery

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Sharp, M., & Scaglione, A. (2008). Application of sparse signal recovery to pilot-assisted channel estimation. In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP (pp. 3469-3472). [4518398] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2008.4518398