{"title":"基于改进人工势场的无人机群雷达避波研究","authors":"Yuefan Xie, Ying Wang, Jiahang Wei, Jiarui Wang","doi":"10.1109/ICWOC55996.2022.9809862","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved artificial potential field method on route planing for UAV swarm to evade radar detection during flight and finally reach the target point. We solve the problem of excessive gravitational force is solved by modifying the gravitational function to a segmental function compared to the shortcomings of the traditional artificial potential field method. And solve the problem of target unreachability by concentrating on the relative distance between the UAV swarm and the target. Finally, we solve the problem of local minima by adjusting the step size and direction. The feasibility of our improved artificial potential field method in obstacle avoidance is verified by Matlab simulation in experiment.","PeriodicalId":402416,"journal":{"name":"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Radar Wave Avoidance for UAV Swarm Based on Improved Artificial Potential Field\",\"authors\":\"Yuefan Xie, Ying Wang, Jiahang Wei, Jiarui Wang\",\"doi\":\"10.1109/ICWOC55996.2022.9809862\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an improved artificial potential field method on route planing for UAV swarm to evade radar detection during flight and finally reach the target point. We solve the problem of excessive gravitational force is solved by modifying the gravitational function to a segmental function compared to the shortcomings of the traditional artificial potential field method. And solve the problem of target unreachability by concentrating on the relative distance between the UAV swarm and the target. Finally, we solve the problem of local minima by adjusting the step size and direction. The feasibility of our improved artificial potential field method in obstacle avoidance is verified by Matlab simulation in experiment.\",\"PeriodicalId\":402416,\"journal\":{\"name\":\"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWOC55996.2022.9809862\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Intelligent Computing and Wireless Optical Communications (ICWOC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWOC55996.2022.9809862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Radar Wave Avoidance for UAV Swarm Based on Improved Artificial Potential Field
This paper proposes an improved artificial potential field method on route planing for UAV swarm to evade radar detection during flight and finally reach the target point. We solve the problem of excessive gravitational force is solved by modifying the gravitational function to a segmental function compared to the shortcomings of the traditional artificial potential field method. And solve the problem of target unreachability by concentrating on the relative distance between the UAV swarm and the target. Finally, we solve the problem of local minima by adjusting the step size and direction. The feasibility of our improved artificial potential field method in obstacle avoidance is verified by Matlab simulation in experiment.