File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/ICCS.2016.7833604
- Scopus: eid_2-s2.0-85013896745
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Turbulence channel modeling and non-parametric estimation for optical wireless scattering communication
Title | Turbulence channel modeling and non-parametric estimation for optical wireless scattering communication |
---|---|
Authors | |
Keywords | EM algorithm mixed Poisson distribution Optical wireless scattering communication temporal correlation turbulence |
Issue Date | 2017 |
Citation | 2016 IEEE International Conference on Communication Systems, ICCS 2016, 2017, article no. 7833604 How to Cite? |
Abstract | We adopt mixed Poisson distribution to characterize the channel turbulence for the optical wireless scattering communication. The expectation-maximization (EM) algorithm is applied to estimate each component of the mixed Poisson distribution. We analyze the temporal correlation of the turbulence-induced fading, which is crucial for designing the frame length and the training signal pattern for channel estimation. Computer simulations show the good performance of the proposed estimation approaches for the mixed Poisson distribution and the temporal correlation. Results based on the outdoor experimental data with the transceiver distance of 1500 meters are also presented. It is shown that the coherent time length can reach the order of several hundred milliseconds. |
Persistent Identifier | http://hdl.handle.net/10722/316464 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Kun | - |
dc.contributor.author | Gong, Chen | - |
dc.contributor.author | Zou, Difan | - |
dc.contributor.author | Xu, Zhengyuan | - |
dc.date.accessioned | 2022-09-14T11:40:30Z | - |
dc.date.available | 2022-09-14T11:40:30Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | 2016 IEEE International Conference on Communication Systems, ICCS 2016, 2017, article no. 7833604 | - |
dc.identifier.uri | http://hdl.handle.net/10722/316464 | - |
dc.description.abstract | We adopt mixed Poisson distribution to characterize the channel turbulence for the optical wireless scattering communication. The expectation-maximization (EM) algorithm is applied to estimate each component of the mixed Poisson distribution. We analyze the temporal correlation of the turbulence-induced fading, which is crucial for designing the frame length and the training signal pattern for channel estimation. Computer simulations show the good performance of the proposed estimation approaches for the mixed Poisson distribution and the temporal correlation. Results based on the outdoor experimental data with the transceiver distance of 1500 meters are also presented. It is shown that the coherent time length can reach the order of several hundred milliseconds. | - |
dc.language | eng | - |
dc.relation.ispartof | 2016 IEEE International Conference on Communication Systems, ICCS 2016 | - |
dc.subject | EM algorithm | - |
dc.subject | mixed Poisson distribution | - |
dc.subject | Optical wireless scattering communication | - |
dc.subject | temporal correlation | - |
dc.subject | turbulence | - |
dc.title | Turbulence channel modeling and non-parametric estimation for optical wireless scattering communication | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/ICCS.2016.7833604 | - |
dc.identifier.scopus | eid_2-s2.0-85013896745 | - |
dc.identifier.spage | article no. 7833604 | - |
dc.identifier.epage | article no. 7833604 | - |