Leveraging the ℓ1-LS criterion for OFDM sparse wireless channel estimation

Fatimah Al-Ogaili, Hadeel Elayan, Leen Alhalabi, Abdullah Al-Shabili, Bilal Taha, Luis Weruaga, Shihab Jimaa

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

12 Scopus citations

Abstract

In order to exploit the inherent sparsity of an OFDM multipath wireless channel, this paper presents a novel estimation technique based on the ℓ1-LS criterion that relies on the selection of the optimal regularization parameter. This term is proven in the paper to be intimately related to the Signal to Noise Ratio (SNR) and Sparsity Degree (ρ) of the channel. Therefore, in order to take full advantage of the ℓ1-LS framework, an ad-hoc technique for estimating blindly the SNR and ρ of the problem is also introduced. The performance of the novel algorithm is compared to a number of reference techniques. Two standard measures, namely the Mean Square Error (MSE) of the estimated channel and the Symbol Error Rate (SER) of the OFDM system validate the robustness of the proposed algorithm. Indeed, this novel technique achieves better estimation along with better spectrum efficiency.

Original languageBritish English
Title of host publication2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages845-849
Number of pages5
ISBN (Electronic)9781467377010
DOIs
StatePublished - 4 Dec 2015
Event11th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015 - Abu Dhabi, United Arab Emirates
Duration: 19 Oct 201521 Oct 2015

Publication series

Name2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015

Conference

Conference11th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2015
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period19/10/1521/10/15

Keywords

  • channel estimation
  • Least Squares (LS) algorithm
  • Orthogonal Frequency Division Multiplexing (OFDM)
  • Sparsity
  • ℓ1-norm

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