Joint AoA and Channel Estimation for Pulse-shpaed SIMO-OFDM systems

Cian Ya Horng, Wen-Rong Wu, Din Hwa Huang

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

Abstract

Beamforming has been considered a crucial technique in 5G era. To perform received beamforming, one must know the information of angle-of-arrival (AoA). This paper considers AoA estimation in single-input-multiple-output (SIMO) pilot-assisted OFDM systems. Exploiting the sparsity of the wireless channel, we can first efficiently estimate channel impulse response with a compressive-sensing based technique. However, existing works often do not take the pulse-shaping effect into account, resulting in poor performance in real-world systems. We propose a basisadaptive block sparse Bayesian learning framework to solve the problem. Once the CIRs corresponding to received antennas are obtained, AoAs can then be estimated accordingly.

Original languageEnglish
Title of host publication2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668115
DOIs
StatePublished - 31 Jan 2019
Event23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
Duration: 19 Nov 201821 Nov 2018

Publication series

NameInternational Conference on Digital Signal Processing, DSP
Volume2018-November

Conference

Conference23rd IEEE International Conference on Digital Signal Processing, DSP 2018
CountryChina
CityShanghai
Period19/11/1821/11/18

Keywords

  • Angle-of-arrival (AoA)
  • block sparse Bayesian learning (BSBL)
  • channel estimation
  • compressive sensing (CS)
  • orthogonal frequency-division multiplexing (OFDM)
  • pulse-shaping

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