A Circular Polarized Endfire Leaky-Wave Antenna Based on Offset Double-Sided Parallel Strip Lines
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)(2023)
School of Electronic Science and Engineering | Department of Electronic and Electrical Engineering
Abstract
This paper presents a novel design for an endfire leaky-wave antenna with high gain and circular polarized (CP) radiation. By etching a series of slots and metal pins on the offset double-sided parallel strip lines, the slots and the edges of the strip line can provide two fields with a 90° phase difference for CP radiation. Meanwhile, the Hanson-Woodyard condition is also met to realize the endfire radiation. To verify our conclusion, an antenna prototype is designed and simulated, the results show that the endfire antenna provides a maximum gain of 12.2 dBi and the maximum radiation efficiency is 90%. Furthermore, CP radiation capability is also validated through the axial ratio.
MoreTranslated text
Key words
circular polarized,endfire radiation,leaky-wave antenna,offset double-sided parallel strip lines
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
Related Papers
2014
被引用144 | 浏览
2021
被引用21 | 浏览
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
GPU is busy, summary generation fails
Rerequest