| Autor: |
Y. H. Hu, J. Z. Zhang, Y. X. Liu, G. J. Liu, G. K. Chen |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Radioengineering, Vol 33, Iss 1, Pp 163-172 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1210-2512 |
| Popis: |
Spectrum maps can model the received signal strength over a geographical region and will play a pivotal role in the intended spectrum management scheme. Traditional spectrum map construction methods cannot fully utilize the spatial-temporal correlation characteristics of observed spectrum data in a time-varying spectrum situation. The computational complexity for real-time scenes is unaffordable, and the current spectrum situation cannot be estimated promptly. To address this problem, we first model the spatial-temporal spectrum data by tensors. Then, based on the low-rank statistical characteristic of the spectrum map, we apply the tensor ring low-rank factors (TRLRF) algorithm to recover the missing spectrum data. Finally, a dynamic window mechanism is introduced to reduce the computational complexity further. The simulation results show that the proposed dynamic window size tensor ring low-rank factors (DW-TRLRF) algorithm yields higher accuracy than other state-of-the-art algorithms with significantly lower complexity. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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