Application of sparse signal recovery to pilot-assisted channel estimation

Matthew Sharp, Anna Scaglione

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

43 Citations (Scopus)

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 l 0 norm, leading to an intractable combinatorial search problem. Several methods have been proposed to deal with these issues, and the one we examine involves l 1 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 publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages3469-3472
Number of pages4
DOIs
StatePublished - 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

Other

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

Fingerprint

Channel estimation
recovery
Modulation
Recovery
Bandwidth
norms
division
modulation
taps
estimating
bandwidth
optimization

Keywords

  • Channel estimation
  • OFDM
  • PSAM
  • Sparse signal recovery

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

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

Application of sparse signal recovery to pilot-assisted channel estimation. / Sharp, Matthew; Scaglione, Anna.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2008. p. 3469-3472 4518398.

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

Sharp, M & Scaglione, A 2008, Application of sparse signal recovery to pilot-assisted channel estimation. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 4518398, pp. 3469-3472, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, United States, 3/31/08. https://doi.org/10.1109/ICASSP.2008.4518398
Sharp M, Scaglione A. Application of sparse signal recovery to pilot-assisted channel estimation. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2008. p. 3469-3472. 4518398 https://doi.org/10.1109/ICASSP.2008.4518398
Sharp, Matthew ; Scaglione, Anna. / Application of sparse signal recovery to pilot-assisted channel estimation. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2008. pp. 3469-3472
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