An optical communications system employing intradyne reception and offline digital signal processing is tested over a 10.45 km link through the atmosphere. 40 GBaud transmission using binary phase-shift keying in the C-band is demonstrated and compared with laboratory measurements. Simultaneous photodetector measurements show that the turbulence in the atmospheric channel is representative for relevant and worst-case conditions in the geostationary satellite uplink scenario.

Download full-text PDF

Source
http://dx.doi.org/10.1364/AO.57.005095DOI Listing

Publication Analysis

Top Keywords

conditions geostationary
8
geostationary satellite
8
satellite uplink
8
demonstration 40  gbaud
4
40  gbaud intradyne
4
intradyne transmission
4
transmission worst-case
4
worst-case atmospheric
4
atmospheric turbulence
4
turbulence conditions
4

Similar Publications

Wildfire spread prediction using geostationary satellite observation data and directional ROS adjustment factor.

J Environ Manage

December 2024

Department of Civil and Environmental Engineering, Seoul National University, Seoul, South Korea. Electronic address:

Article Synopsis
  • This paper presents a new data-driven method to boost the accuracy of wildfire spread predictions using satellite wildfire detection data.
  • It introduces an improved algorithm that uses a genetic algorithm to optimize the Rate of Spread (ROS) adjustment factor, making predictions more precise in the FARSITE wildfire simulator.
  • The methodology, tested during the 2020 Creek Fire in California, shows that the innovative Directional ROS approach outperforms traditional methods, aiding in better wildfire response strategies and resource allocation.
View Article and Find Full Text PDF

Multiresolution Analysis of HRRR Meteorological Parameters and GOES-R AOD for Hourly PM Prediction.

Environ Sci Technol

November 2024

Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia 30322, United States.

High-resolution, comprehensive exposure data are crucial for accurately estimating the human health impact of PM. In recent years, satellite remote sensing data have been increasingly utilized in PM models to overcome the limited spatial coverage of ground monitoring stations. However, data gaps in satellite-retrieved parameters such as aerosol optical depth (AOD), the sparsity of regulatory air quality monitors for model training, and nonlinear relationships between PM and meteorological conditions can affect model performance and cause data gaps in most existing PM models.

View Article and Find Full Text PDF

The extreme dry and hot 2015/16 El Niño episode caused large losses in tropical live aboveground carbon (AGC) stocks. Followed by climatic conditions conducive to high vegetation productivity since 2016, tropical AGC are expected to recover from large losses during the El Niño episode; however, the recovery rate and its spatial distribution remain unknown. Here, we used low-frequency microwave satellite data to track AGC changes, and showed that tropical AGC stocks returned to pre-El Niño levels by the end of 2020, resulting in an AGC sink of Pg C year during 2014-2020.

View Article and Find Full Text PDF

Overnight fires are emerging in North America with previously unknown drivers and implications. This notable phenomenon challenges the traditional understanding of the 'active day, quiet night' model of the diurnal fire cycle and current fire management practices. Here we demonstrate that drought conditions promote overnight burning, which is a key mechanism fostering large active fires.

View Article and Find Full Text PDF

The worst forest fires in Korean history broke out on March 4, 2022 and lasted for ten days. In order to monitor the catastrophic forest fires, Geostationary Korea Multi-Purpose Satellite (GK)-2 A Advanced Meteorological Imager (AMI) and GK-2B Geostationary Environment Monitoring Spectrometer (GEMS) data were used in this study. Aerosol optical depth (AOD) irretrievable for the biomass-burning aerosols produced with water vapor classified as could-contaminated, was reconstructed by ultraviolet aerosol index (UVAI).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!