Features of Application of an Analog Fiber-Optic System for Transmitting HF-UHF Signals
2023 Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)（2023）
Omsk Scientific Center SB RAS
Abstract
The characteristics of an analog fiber-optic transmission system built based on a transmitting optical module with direct modulation of laser radiation are studied. The parameters of the system during the transmission of signals in the HF-UHF ranges are determined: the transmission coefficient, the dynamic range for blocking, the dynamic range free from intermodulation components, the levels of non-linear distortions, as well as the total coefficient of harmonic components. The gain decreases monotonically from -29.4 dB to -34.4 dB with increasing signal frequency. The total coefficient of harmonic components at a signal power of -5 to 5 dBm is within 1% in the entire studied frequency range. The blocking dynamic range decreases from 152.9 dB to 150.3 dB as the signal frequency increases. The dynamic range, free from intermodulation components, at frequencies up to 550 MHz averages 109.2 dB and with further increase in frequency gradually decreases to 106.1 dB at 3 GHz. A comparison of the obtained values of the dynamic ranges with the literature data revealed their quantitative agreement with similar parameters of systems with both direct and external modulation.
MoreTranslated text
Key words
analog fiber optic transmission system,HF-UHF range,transmitting optical module with direct modulation,transmission coefficient,total harmonic distortion,dynamic range
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined