{"title":"Simulation analysis and evaluation of the effect of jammer shielding aircraft","authors":"Canhui Lai, Gang Lei, Wei Luo, Yunshu Li","doi":"10.1117/12.2682457","DOIUrl":null,"url":null,"abstract":"The evaluation of aircraft penetration effect has always been an important aspect in the field of military confrontation. This paper comprehensively analyses the force situation of the aircraft, calculates the flight trajectory of the aircraft and the jammer accurately through simulation, and analyses the influence of the release time, release speed and release angle of the jammer on the shielding effect in combination with the radar jamming mechanism. The neural network is trained with a large amount of simulated data, and the optimal release decision under certain scenario is calculated offline with particle swarm optimization algorithm.","PeriodicalId":177416,"journal":{"name":"Conference on Electronic Information Engineering and Data Processing","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference on Electronic Information Engineering and Data Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2682457","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
The evaluation of aircraft penetration effect has always been an important aspect in the field of military confrontation. This paper comprehensively analyses the force situation of the aircraft, calculates the flight trajectory of the aircraft and the jammer accurately through simulation, and analyses the influence of the release time, release speed and release angle of the jammer on the shielding effect in combination with the radar jamming mechanism. The neural network is trained with a large amount of simulated data, and the optimal release decision under certain scenario is calculated offline with particle swarm optimization algorithm.