{"title":"A moment method for the detection of synchronization probes in worst case noise and multitone jamming","authors":"T. Gulliver","doi":"10.1109/MILCOM.1991.258431","DOIUrl":null,"url":null,"abstract":"A technique recently devised for diversity combining is used to detect the presence of a burst of continuous wave (CW) synchronization probes in a fast frequency-hopped communication system. Often noise samples from unused channels are used to generate interference statistics to ensure a low false alarm rate. The presence of intelligent jamming can potentially increase this alarm rate to an unacceptable level and severely degrade performance. As an alternative, the author presents a method for detection which has been shown to provide robust data diversity combining under noise and multitone jamming without the use of channel state information. The approach is based on the second and first moments of the signal samples over L hops. An attempt is made to subtract the variations due to jamming using estimates of these moments. Results are given which show that this method provides superior performance to other diversity combining methods in worst-case noise and multitone jamming.<<ETX>>","PeriodicalId":212388,"journal":{"name":"MILCOM 91 - Conference record","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 91 - Conference record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1991.258431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
A technique recently devised for diversity combining is used to detect the presence of a burst of continuous wave (CW) synchronization probes in a fast frequency-hopped communication system. Often noise samples from unused channels are used to generate interference statistics to ensure a low false alarm rate. The presence of intelligent jamming can potentially increase this alarm rate to an unacceptable level and severely degrade performance. As an alternative, the author presents a method for detection which has been shown to provide robust data diversity combining under noise and multitone jamming without the use of channel state information. The approach is based on the second and first moments of the signal samples over L hops. An attempt is made to subtract the variations due to jamming using estimates of these moments. Results are given which show that this method provides superior performance to other diversity combining methods in worst-case noise and multitone jamming.<>