Tong Shi;Shaohui Sun;Wenlong Sun;Shaoli Kang;Rongke Liu
{"title":"High-Performance Receiving Beamforming With Low-Resolution Arrays in Multisatellite Communications","authors":"Tong Shi;Shaohui Sun;Wenlong Sun;Shaoli Kang;Rongke Liu","doi":"10.1109/TAES.2024.3457531","DOIUrl":null,"url":null,"abstract":"In future communication systems, users require the ability to receive signals from multiple satellites while mitigating interference and improving communication quality. This necessitates the application of antenna arrays to achieve high receiving gain. To address this challenge, our study presents a low-resolution analog receiving beamforming algorithm. This algorithm successfully overcomes two problems: first, uncertainty in satellite positions, and second, the local optimality limitation of traditional approaches, ensuring global optimality. Initially, a robust optimization objective function is formulated based on the uncertainty of position. Subsequently, a customized branch-and-bound algorithm is designed to find the beamforming weights that maximize this objective function, considering the constraints of low resolution. Simulation results demonstrate the effectiveness of our approach.","PeriodicalId":13157,"journal":{"name":"IEEE Transactions on Aerospace and Electronic Systems","volume":"61 1","pages":"1237-1245"},"PeriodicalIF":5.7000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Aerospace and Electronic Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10670432/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
In future communication systems, users require the ability to receive signals from multiple satellites while mitigating interference and improving communication quality. This necessitates the application of antenna arrays to achieve high receiving gain. To address this challenge, our study presents a low-resolution analog receiving beamforming algorithm. This algorithm successfully overcomes two problems: first, uncertainty in satellite positions, and second, the local optimality limitation of traditional approaches, ensuring global optimality. Initially, a robust optimization objective function is formulated based on the uncertainty of position. Subsequently, a customized branch-and-bound algorithm is designed to find the beamforming weights that maximize this objective function, considering the constraints of low resolution. Simulation results demonstrate the effectiveness of our approach.
期刊介绍:
IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.