I-OMP : an improved OMP algorithm for channel state identification in an underwater wireless optical communication scenario
Underwater wireless optical communication (UWOC) has attracted considerable interest owing to its capability of high data rates and low latency. As a crucial component of UWOC, the transmission characteristics of an underwater channel directly impact the system's performance metrics. However, the existing channel models cannot exactly capture the underwater channel states, thus degrading the observability of channel states. This paper proposes a hybrid-field channel model containing both far-field and near-field path components, in which the signal-dependent shot noise (SDSN) is incorporated as well to accurately describe the underwater channel behavior. Then an improved orthogonal matching pursuit (I-OMP) algorithm that estimates the far-field and near-field path components independently with different transform matrices is developed to obtain the underwater channel state. The performance analyses show that I-OMP can improve the estimation accuracy of underwater channels by iteratively minimizing the mean square error (MSE) and utilizing two different transform matrices, demonstrating the advantage of the proposed I-OMP over the existing methods.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:63 |
|---|---|
| Enthalten in: |
Applied optics - 63(2024), 6 vom: 20. Feb., Seite 1546-1552 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Gao, Shuyi [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 04.03.2024 published: Print Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1364/AO.511302 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369272366 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369272366 | ||
| 003 | DE-627 | ||
| 005 | 20240305232856.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240305s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1364/AO.511302 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1317.xml |
| 035 | |a (DE-627)NLM369272366 | ||
| 035 | |a (NLM)38437367 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Gao, Shuyi |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a I-OMP |b an improved OMP algorithm for channel state identification in an underwater wireless optical communication scenario |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 04.03.2024 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Underwater wireless optical communication (UWOC) has attracted considerable interest owing to its capability of high data rates and low latency. As a crucial component of UWOC, the transmission characteristics of an underwater channel directly impact the system's performance metrics. However, the existing channel models cannot exactly capture the underwater channel states, thus degrading the observability of channel states. This paper proposes a hybrid-field channel model containing both far-field and near-field path components, in which the signal-dependent shot noise (SDSN) is incorporated as well to accurately describe the underwater channel behavior. Then an improved orthogonal matching pursuit (I-OMP) algorithm that estimates the far-field and near-field path components independently with different transform matrices is developed to obtain the underwater channel state. The performance analyses show that I-OMP can improve the estimation accuracy of underwater channels by iteratively minimizing the mean square error (MSE) and utilizing two different transform matrices, demonstrating the advantage of the proposed I-OMP over the existing methods | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Xie, Sheng |e verfasserin |4 aut | |
| 700 | 1 | |a Feng, Renhai |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Rui |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Qijia |e verfasserin |4 aut | |
| 700 | 1 | |a She, Meiqi |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Applied optics |d 1966 |g 63(2024), 6 vom: 20. Feb., Seite 1546-1552 |w (DE-627)NLM114401330 |x 1539-4522 |7 nnns |
| 773 | 1 | 8 | |g volume:63 |g year:2024 |g number:6 |g day:20 |g month:02 |g pages:1546-1552 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1364/AO.511302 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 63 |j 2024 |e 6 |b 20 |c 02 |h 1546-1552 | ||