{"title":"利用遗传算法对多假设飞机跟踪算法进行参数调整","authors":"D. Bedin, A. Ivanov","doi":"10.23919/ICINS.2019.8769413","DOIUrl":null,"url":null,"abstract":"In previous studies, we developed a multi-hypothesis algorithm for the aircraft tracking, which shows good performance in the processing of real and model data. The algorithm operation depends on a large number of parameters. It is quite difficult to detect the influence of some parameters on the results. In this situation, it is justified to use a genetic algorithm to adjust the parameters.","PeriodicalId":108493,"journal":{"name":"2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The Use of a Genetic Algorithm for Parameter Adjustment of the Multi-Hypothesis Aircraft Tracking Algorithm\",\"authors\":\"D. Bedin, A. Ivanov\",\"doi\":\"10.23919/ICINS.2019.8769413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In previous studies, we developed a multi-hypothesis algorithm for the aircraft tracking, which shows good performance in the processing of real and model data. The algorithm operation depends on a large number of parameters. It is quite difficult to detect the influence of some parameters on the results. In this situation, it is justified to use a genetic algorithm to adjust the parameters.\",\"PeriodicalId\":108493,\"journal\":{\"name\":\"2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICINS.2019.8769413\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 26th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICINS.2019.8769413","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Use of a Genetic Algorithm for Parameter Adjustment of the Multi-Hypothesis Aircraft Tracking Algorithm
In previous studies, we developed a multi-hypothesis algorithm for the aircraft tracking, which shows good performance in the processing of real and model data. The algorithm operation depends on a large number of parameters. It is quite difficult to detect the influence of some parameters on the results. In this situation, it is justified to use a genetic algorithm to adjust the parameters.