Blind SNR Estimation for FSO Communication Systems with Deep Fading
Fuente:
arXiv
Salvato in:
| Autori principali: | , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2026
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866914600141717504 |
|---|---|
| author | Melo, Humberto V. Q. Colares, Robson A. Mello, Darli A. A. |
| author_facet | Melo, Humberto V. Q. Colares, Robson A. Mello, Darli A. A. |
| contents | We evaluate the M2M4 and EVM methods for real-time SNR estimation in FSO communication systems subject to deep fading. Using an experimental setup with controlled deep fading, we show that the M2M4 estimator reliably tracks the SNR profile, making it suitable for triggering transceiver adaptation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_26063 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Blind SNR Estimation for FSO Communication Systems with Deep Fading Melo, Humberto V. Q. Colares, Robson A. Mello, Darli A. A. Signal Processing We evaluate the M2M4 and EVM methods for real-time SNR estimation in FSO communication systems subject to deep fading. Using an experimental setup with controlled deep fading, we show that the M2M4 estimator reliably tracks the SNR profile, making it suitable for triggering transceiver adaptation. |
| title | Blind SNR Estimation for FSO Communication Systems with Deep Fading |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2605.26063 |