{"title":"Effectiveness evaluation method for warning radar in jamming environment","authors":"Hou Deting, Qi Zongfeng, Jiang Teng, Zhu Minpeng","doi":"10.1109/CCDC.2018.8407411","DOIUrl":null,"url":null,"abstract":"Considering the influence of interference, the effectiveness evaluation index and corresponding quantization rules of warning radar are put forward. The weights of indexes are determined by AHP and entropy weight method. Considering the logical relationship among indexes, the aggregation method is improved, and index system is established reflecting equipment efficiency more accurately. The algorithm of efficiency aggregation based on matrix operation is proposed, which contains the ability of dealing with uncertain information, and the ability of aggregating efficiency of indexes which restrict each other. The evaluation results are visualized by cloud model theory, and the concept of the attraction degree, and the principle of maximum attraction are put forward. The effectiveness of the warning radar under remote support jamming is analyzed, and obtains good results. The feasibility of the improved method is proved. It provides decision basis for performance evaluation of single radar in jamming environment and performance ranking of multiple radars.","PeriodicalId":409960,"journal":{"name":"2018 Chinese Control And Decision Conference (CCDC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2018.8407411","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
Considering the influence of interference, the effectiveness evaluation index and corresponding quantization rules of warning radar are put forward. The weights of indexes are determined by AHP and entropy weight method. Considering the logical relationship among indexes, the aggregation method is improved, and index system is established reflecting equipment efficiency more accurately. The algorithm of efficiency aggregation based on matrix operation is proposed, which contains the ability of dealing with uncertain information, and the ability of aggregating efficiency of indexes which restrict each other. The evaluation results are visualized by cloud model theory, and the concept of the attraction degree, and the principle of maximum attraction are put forward. The effectiveness of the warning radar under remote support jamming is analyzed, and obtains good results. The feasibility of the improved method is proved. It provides decision basis for performance evaluation of single radar in jamming environment and performance ranking of multiple radars.