{"title":"Passive detection of BPSK radar signals with unknown parameters using multi-sensor arrays","authors":"Peter Q. C. Ly, S. Sirianunpiboon, S. D. Elton","doi":"10.1109/ICSPCS.2017.8270503","DOIUrl":null,"url":null,"abstract":"This paper develops a multi-sensor generalised likelihood ratio test (GLRT) detector to robustly detect the presence of radar signals with binary phase shift keying (BPSK) modulation with completely unknown parameters in noise using the output of a multi-sensor array. The performance of the proposed detector is evaluated through simulations and compared against two cyclostationary detectors. Simulation results demonstrate that the proposed multi-sensor GLRT detector offers more robust detection of BPSK signals in low signal-to-noise ratio conditions and at lower false alarm rates compared to the multi-sensor cyclostationary methods.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCS.2017.8270503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper develops a multi-sensor generalised likelihood ratio test (GLRT) detector to robustly detect the presence of radar signals with binary phase shift keying (BPSK) modulation with completely unknown parameters in noise using the output of a multi-sensor array. The performance of the proposed detector is evaluated through simulations and compared against two cyclostationary detectors. Simulation results demonstrate that the proposed multi-sensor GLRT detector offers more robust detection of BPSK signals in low signal-to-noise ratio conditions and at lower false alarm rates compared to the multi-sensor cyclostationary methods.