Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs

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Abstract

One-bit analog-to-digital converters enable digital beamforming in millimeter wave (mmWave) multi-input multi-output communication systems with low power consumption. Con-ventional signal processing tasks like channel estimation, though, are challenging due to the extreme quantization, making it challenging to implement uplink (UL) multiuser re-ceivers. We reformulate the UL channel estimation prob-lem as a multiplication of two specific matrices, and then we leverage Toeplitz matrix reconstruction in conjunction with the angular domain sparsity of the UL channel to recover UL channel via solving a properly designed optimization prob-lem. Our new approach is called the sparsity enforcing with Toeplitz matrix reconstruction (SE-TMR) method. Numerical simulations are carried out to showcase the advantages of SE-TMR over existing competitive methods in terms of normal-ized mean squared error in clustered narrowband channels.

Original languageEnglish
Title of host publication2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
PublisherIEEE
Pages141-145
Number of pages5
ISBN (Electronic)9781665406338
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventIEEE Sensor Array and Multichannel Signal Processing Workshop - Trondheim, Norway
Duration: 20 Jun 202223 Jun 2022
Conference number: 12

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Print)1551-2282
ISSN (Electronic)2151-870X

Conference

ConferenceIEEE Sensor Array and Multichannel Signal Processing Workshop
Abbreviated titleSAM
Country/TerritoryNorway
CityTrondheim
Period20/06/202223/06/2022

Keywords

  • angular domain
  • Multi-user MIMO
  • one-bit analog-to-digital converter
  • Toeplitz matrix reconstruction
  • uplink channel esti-mation

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