{"title":"Low Power and Miniaturized Back-End Processing System for an L-Band Radiometer based on ARM Embedded Microprocessor","authors":"Daniel Ernesto Mera-Romo, R. Rodríguez-Solís","doi":"10.1109/RWS.2019.8714392","DOIUrl":null,"url":null,"abstract":"This paper presents the design and construction of an ultra-low power and miniaturized back end system for processing real-time L-band radiometric data based on an ARM A8 embedded microprocessor. In the worst-case scenario, the power consumption has been measured at only 1.7 W and the size of the radiometer has been significantly reduced to a 30cm x 30cm x 10cm. The system was tested for different integration times, and high-level software optimizations were applied to the main program written in C, running on an embedded Linux OS to reduce the power even more, down to 1.52 W. This technological breakthrough will allow these systems to become portable, low cost, and be carried by small drones to scan a large area.","PeriodicalId":131330,"journal":{"name":"2019 IEEE Radio and Wireless Symposium (RWS)","volume":"25 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS.2019.8714392","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents the design and construction of an ultra-low power and miniaturized back end system for processing real-time L-band radiometric data based on an ARM A8 embedded microprocessor. In the worst-case scenario, the power consumption has been measured at only 1.7 W and the size of the radiometer has been significantly reduced to a 30cm x 30cm x 10cm. The system was tested for different integration times, and high-level software optimizations were applied to the main program written in C, running on an embedded Linux OS to reduce the power even more, down to 1.52 W. This technological breakthrough will allow these systems to become portable, low cost, and be carried by small drones to scan a large area.
本文介绍了一种基于ARM A8嵌入式微处理器的超低功耗、小型化l波段实时辐射数据处理后端系统的设计与构建。在最坏的情况下,测量到的功耗仅为1.7 W,辐射计的尺寸已显著减小到30cm x 30cm x 10cm。系统在不同的集成时间下进行了测试,并对用C语言编写的主程序进行了高级软件优化,在嵌入式Linux操作系统上运行,进一步降低了功耗,降至1.52 W。这一技术突破将使这些系统变得便携、低成本,并且可以由小型无人机携带来扫描大面积区域。