D. Tatarinov, U. Karahasanovic, Udo Schröder, Oscar Gomez
{"title":"Time dependent detection analysis for a virtual radar analysis tool","authors":"D. Tatarinov, U. Karahasanovic, Udo Schröder, Oscar Gomez","doi":"10.23919/IRS.2017.8008234","DOIUrl":null,"url":null,"abstract":"The probability of detection and the false alarm rate are the key parameters that define radar system performance. In order to obtain the best possible detection rate, while minimising false alarms, there is a need to measure and evaluate the performance of a system under development. In the case of vital signs monitoring systems, the target observation time is a very sensitive parameter. The two main unknowns are: when will the incident that we want to detect occur and how long must it be observed for a robust detection to be established. This paper shows a novel approach of so-called dynamic analysis of the detection probability for real or simulated data. This approach helps us to identify the statistical limits of the system and to find an optimum between the minimum observation time window and the maximum detection probability.","PeriodicalId":430241,"journal":{"name":"2017 18th International Radar Symposium (IRS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 18th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IRS.2017.8008234","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
The probability of detection and the false alarm rate are the key parameters that define radar system performance. In order to obtain the best possible detection rate, while minimising false alarms, there is a need to measure and evaluate the performance of a system under development. In the case of vital signs monitoring systems, the target observation time is a very sensitive parameter. The two main unknowns are: when will the incident that we want to detect occur and how long must it be observed for a robust detection to be established. This paper shows a novel approach of so-called dynamic analysis of the detection probability for real or simulated data. This approach helps us to identify the statistical limits of the system and to find an optimum between the minimum observation time window and the maximum detection probability.