{"title":"一种基于雷达的散射图建模同步定位与映射范式","authors":"Xiong Liu, Dongying Li, Wenxian Yu","doi":"10.1109/APCAP.2018.8538214","DOIUrl":null,"url":null,"abstract":"In this paper, a Simultaneous Localization and Mapping (SLAM) paradigm with an adaptive genetic particle filter is migrated to the detection platform with microwave radar sensors. A closed-loop feedback scheme is implemented to obtain the position of radar platform as well as to construct a scattering map for surrounding object with either deterministic or stochastic echo-wave response. The simulation results indicate that the algorithm works accurately in terms of both map construction and platform positioning.","PeriodicalId":198124,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Radar-Based Simultaneous Localization and Mapping Paradigm for Scattering Map Modeling\",\"authors\":\"Xiong Liu, Dongying Li, Wenxian Yu\",\"doi\":\"10.1109/APCAP.2018.8538214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a Simultaneous Localization and Mapping (SLAM) paradigm with an adaptive genetic particle filter is migrated to the detection platform with microwave radar sensors. A closed-loop feedback scheme is implemented to obtain the position of radar platform as well as to construct a scattering map for surrounding object with either deterministic or stochastic echo-wave response. The simulation results indicate that the algorithm works accurately in terms of both map construction and platform positioning.\",\"PeriodicalId\":198124,\"journal\":{\"name\":\"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCAP.2018.8538214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCAP.2018.8538214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Radar-Based Simultaneous Localization and Mapping Paradigm for Scattering Map Modeling
In this paper, a Simultaneous Localization and Mapping (SLAM) paradigm with an adaptive genetic particle filter is migrated to the detection platform with microwave radar sensors. A closed-loop feedback scheme is implemented to obtain the position of radar platform as well as to construct a scattering map for surrounding object with either deterministic or stochastic echo-wave response. The simulation results indicate that the algorithm works accurately in terms of both map construction and platform positioning.
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