{"title":"Unsynchronized Multi- array Joint Automatic Detection","authors":"Di Huang, Xiangrong Zhu, Peilin Su, Jieqi Zhu","doi":"10.1109/CISCE58541.2023.10142525","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of how to use multiple non-synchronous base array joint detection to improve the performance of passive automatic detection, this paper analyzes the functional relationship of detection probability, false alarm probability, input signal-to-noise ratio and integration time in the case of single-array detection, and proposes Under the condition of given detection probability and false alarm probability, the joint detection strategy of each single-array detection threshold is solved with the goal of increasing the action distance or shortening the processing time. Through simulation experiments, it is verified that the joint detection strategy can improve the detection performance under certain conditions, and the joint detection strategy is obtained. The relationship between the improvement of detection performance and the difference in detection capability and detection probability of arrays provides technical reference for multi-node or multi-array automatic detection of unmanned platforms such as UUVs, submersible buoys, and buoys.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISCE58541.2023.10142525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the problem of how to use multiple non-synchronous base array joint detection to improve the performance of passive automatic detection, this paper analyzes the functional relationship of detection probability, false alarm probability, input signal-to-noise ratio and integration time in the case of single-array detection, and proposes Under the condition of given detection probability and false alarm probability, the joint detection strategy of each single-array detection threshold is solved with the goal of increasing the action distance or shortening the processing time. Through simulation experiments, it is verified that the joint detection strategy can improve the detection performance under certain conditions, and the joint detection strategy is obtained. The relationship between the improvement of detection performance and the difference in detection capability and detection probability of arrays provides technical reference for multi-node or multi-array automatic detection of unmanned platforms such as UUVs, submersible buoys, and buoys.