{"title":"亚太赫兹频率范围内机器人车辆障碍物预警无线电系统的信号处理","authors":"","doi":"10.18469/ikt.2022.20.2.03","DOIUrl":null,"url":null,"abstract":"The article describes the features of the implementation of radars with the synthesis of the anterolateral viewing aperture in the subterahertz frequency range, designed to implement an obstacle warning system for a robotic vehicle. It is shown that vibrations with standard deviation systems of about 1 mm representa significant problem for the implementation of SAR modes in the W range. In order to overcome this problem, it is proposed to use Bayesian algorithms for the formation of radar images in conditions of a priori uncertainty.","PeriodicalId":245247,"journal":{"name":"Infokommunikacionnye tehnologii","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SIGNAL PROCESSING IN A ROBOTIC VEHICLE OBSTACLE WARNING RADIO SYSTEM IN THE SUBTERAHERTZ FREQUENCY RANGE\",\"authors\":\"\",\"doi\":\"10.18469/ikt.2022.20.2.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article describes the features of the implementation of radars with the synthesis of the anterolateral viewing aperture in the subterahertz frequency range, designed to implement an obstacle warning system for a robotic vehicle. It is shown that vibrations with standard deviation systems of about 1 mm representa significant problem for the implementation of SAR modes in the W range. In order to overcome this problem, it is proposed to use Bayesian algorithms for the formation of radar images in conditions of a priori uncertainty.\",\"PeriodicalId\":245247,\"journal\":{\"name\":\"Infokommunikacionnye tehnologii\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Infokommunikacionnye tehnologii\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.18469/ikt.2022.20.2.03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infokommunikacionnye tehnologii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18469/ikt.2022.20.2.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SIGNAL PROCESSING IN A ROBOTIC VEHICLE OBSTACLE WARNING RADIO SYSTEM IN THE SUBTERAHERTZ FREQUENCY RANGE
The article describes the features of the implementation of radars with the synthesis of the anterolateral viewing aperture in the subterahertz frequency range, designed to implement an obstacle warning system for a robotic vehicle. It is shown that vibrations with standard deviation systems of about 1 mm representa significant problem for the implementation of SAR modes in the W range. In order to overcome this problem, it is proposed to use Bayesian algorithms for the formation of radar images in conditions of a priori uncertainty.
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