Xiaoying Lu, T. Cheng, Han Peng, Zishu He, Huiyong Li
{"title":"Novel Adaptive Dwell Scheduling Algorithm for Digital Array Radar based on Pulse Interleaving","authors":"Xiaoying Lu, T. Cheng, Han Peng, Zishu He, Huiyong Li","doi":"10.23919/fusion43075.2019.9011216","DOIUrl":null,"url":null,"abstract":"In order to make full use of the digital array radar (DAR), effective dwell scheduling must be implemented. According to the signal processing characteristics of DAR, an adaptive dwell scheduling algorithm is proposed. In this algorithm, time and energy vectors are introduced to implement pulse interleaving and the scheduling analysis, which breaks the limitations of strict interleaving conditions, and reduces the complexity of scheduling analysis compared with existing algorithms based on pulse interleaving technique. Meanwhile, the synthetic priority of the task and the validity of scheduling it are considered comprehensively. Simulation results demonstrate that the proposed algorithm can effectively improve the scheduling performance for DAR.","PeriodicalId":348881,"journal":{"name":"2019 22th International Conference on Information Fusion (FUSION)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22th International Conference on Information Fusion (FUSION)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/fusion43075.2019.9011216","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
In order to make full use of the digital array radar (DAR), effective dwell scheduling must be implemented. According to the signal processing characteristics of DAR, an adaptive dwell scheduling algorithm is proposed. In this algorithm, time and energy vectors are introduced to implement pulse interleaving and the scheduling analysis, which breaks the limitations of strict interleaving conditions, and reduces the complexity of scheduling analysis compared with existing algorithms based on pulse interleaving technique. Meanwhile, the synthetic priority of the task and the validity of scheduling it are considered comprehensively. Simulation results demonstrate that the proposed algorithm can effectively improve the scheduling performance for DAR.