Finite-Size Correction of Expectation-Propagation Detection

• OBA Yuki

  Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology

• TAKEUCHI Keigo

  Department of Electrical and Electronic Information Engineering, Toyohashi University of Technology

Abstract

Expectation propagation (EP) is a powerful algorithm for signal recovery in compressed sensing. This letter proposes correction of a variance message before denoising to improve the performance of EP in the high signal-to-noise ratio (SNR) regime for finite-sized systems. The variance massage is replaced by an observation-dependent consistent estimator of the mean-square error in estimation before denoising. Massive multiple-input multiple-output (MIMO) is considered to verify the effectiveness of the proposed correction. Numerical simulations show that the proposed variance correction improves the high SNR performance of EP for massive MIMO with a few hundred transmit and receive antennas.

Journal

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E105.A (1), 77-81, 2022-01-01

  The Institute of Electronics, Information and Communication Engineers

Keywords

• compressed sensing
• massive multiple-input multiple-output (MIMO)
• expectation propagation
• state evolution
• variance correction

Details

• CRID: 1390572092344331264
• NII Article ID: 130008138728
• DOI: 10.1587/transfun.2021eal2048
• ISSN: 17451337
• ISSN: 09168508
• Web Site: https://www.jstage.jst.go.jp/article/transfun/E105.A/1/E105.A_2021EAL2048/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed