{"title":"基于平均能量的自适应采集阈值算法","authors":"Han Yu, Jia Guozhu","doi":"10.1109/IMCCC.2013.141","DOIUrl":null,"url":null,"abstract":"An adaptive acquisition threshold algorithm based on mean energy (MEAT) was proposed. Conditional probability of acquisition decision variable in MEAT was analyzed under the two hypotheses of synchronization and non-synchronization, and its false alarm probability and detection probability were deduced. Then simulation on Direct-Sequence Spread-Spectrum (DSSS) system using MEAT was made whose result shows the Constant False Alarm Rate (CFAR) characteristic of MEAT and the improvement of detection probability of MEAT relative to traditional fixed threshold algorithm.","PeriodicalId":360796,"journal":{"name":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Adaptive Acquisition Threshold Algorithm Based on Mean Energy\",\"authors\":\"Han Yu, Jia Guozhu\",\"doi\":\"10.1109/IMCCC.2013.141\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive acquisition threshold algorithm based on mean energy (MEAT) was proposed. Conditional probability of acquisition decision variable in MEAT was analyzed under the two hypotheses of synchronization and non-synchronization, and its false alarm probability and detection probability were deduced. Then simulation on Direct-Sequence Spread-Spectrum (DSSS) system using MEAT was made whose result shows the Constant False Alarm Rate (CFAR) characteristic of MEAT and the improvement of detection probability of MEAT relative to traditional fixed threshold algorithm.\",\"PeriodicalId\":360796,\"journal\":{\"name\":\"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2013.141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 Third International Conference on Instrumentation, Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2013.141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Acquisition Threshold Algorithm Based on Mean Energy
An adaptive acquisition threshold algorithm based on mean energy (MEAT) was proposed. Conditional probability of acquisition decision variable in MEAT was analyzed under the two hypotheses of synchronization and non-synchronization, and its false alarm probability and detection probability were deduced. Then simulation on Direct-Sequence Spread-Spectrum (DSSS) system using MEAT was made whose result shows the Constant False Alarm Rate (CFAR) characteristic of MEAT and the improvement of detection probability of MEAT relative to traditional fixed threshold algorithm.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
