{"title":"一种提高流频谱传感器吞吐量的混合技术","authors":"Dylan Gormley","doi":"10.1109/SHaRC56958.2023.10046267","DOIUrl":null,"url":null,"abstract":"In previous work, there has been significant progress on edge device RF feature detection using a hardware algorithm known as the streaming spectrum sensor (StSS). Unlike other spectrum sensor implementations, the StSS can function on edge devices due to its low memory requirements. While the StSS accomplishes its objective of low memory detection, it sacrifices detection throughput. This work investigates a hybrid technique to balance memory and throughput.","PeriodicalId":138023,"journal":{"name":"2023 IEEE Space Hardware and Radio Conference","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Hybrid Technique to Increase Throughput of the Streaming Spectrum Sensor\",\"authors\":\"Dylan Gormley\",\"doi\":\"10.1109/SHaRC56958.2023.10046267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In previous work, there has been significant progress on edge device RF feature detection using a hardware algorithm known as the streaming spectrum sensor (StSS). Unlike other spectrum sensor implementations, the StSS can function on edge devices due to its low memory requirements. While the StSS accomplishes its objective of low memory detection, it sacrifices detection throughput. This work investigates a hybrid technique to balance memory and throughput.\",\"PeriodicalId\":138023,\"journal\":{\"name\":\"2023 IEEE Space Hardware and Radio Conference\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE Space Hardware and Radio Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SHaRC56958.2023.10046267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Space Hardware and Radio Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SHaRC56958.2023.10046267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Hybrid Technique to Increase Throughput of the Streaming Spectrum Sensor
In previous work, there has been significant progress on edge device RF feature detection using a hardware algorithm known as the streaming spectrum sensor (StSS). Unlike other spectrum sensor implementations, the StSS can function on edge devices due to its low memory requirements. While the StSS accomplishes its objective of low memory detection, it sacrifices detection throughput. This work investigates a hybrid technique to balance memory and throughput.