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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

Abstrakti

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.

AlkuperäiskieliEnglanti
Otsikko2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022
KustantajaIEEE
Sivut141-145
Sivumäärä5
ISBN (elektroninen)9781665406338
DOI - pysyväislinkit
TilaJulkaistu - 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaIEEE Sensor Array and Multichannel Signal Processing Workshop - Trondheim, Norja
Kesto: 20 kesäk. 202223 kesäk. 2022
Konferenssinumero: 12

Julkaisusarja

NimiProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (painettu)1551-2282
ISSN (elektroninen)2151-870X

Conference

ConferenceIEEE Sensor Array and Multichannel Signal Processing Workshop
LyhennettäSAM
Maa/AlueNorja
KaupunkiTrondheim
Ajanjakso20/06/202223/06/2022

Sormenjälki

Sukella tutkimusaiheisiin 'Sparsity Enforcing with Toeplitz Matrix Reconstruction Method for Mmwave Ul Channel Estimation with One-Bit Adcs'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.

Siteeraa tätä