{"title":"基于目标RCS的电磁仿真雷达探测器性能分析","authors":"Teo Meng How, Yap Han Lun","doi":"10.1109/RADAR.2016.7485300","DOIUrl":null,"url":null,"abstract":"In radar detector performance analysis, it is known there exist targets that do not follow commonly used radar cross-section (RCS) fluctuation models such as the Swerling models. With advances in computational power, the full RCS distributions of many targets can be computed using electromagnetic (EM) simulations. However, these simulated RCS distributions are not fully exploited by radar designers in system performance prediction. In this paper, we demonstrate the calculation of the required SNR of a radar system for a given probability of detection (PD) and probability of false alarm (Pfa) using the EM-simulated RCS probability mass function (pmf) for the case of a coherent detector.","PeriodicalId":185932,"journal":{"name":"2016 IEEE Radar Conference (RadarConf)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Radar detector performance analysis using EM simulations of targets' RCS\",\"authors\":\"Teo Meng How, Yap Han Lun\",\"doi\":\"10.1109/RADAR.2016.7485300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In radar detector performance analysis, it is known there exist targets that do not follow commonly used radar cross-section (RCS) fluctuation models such as the Swerling models. With advances in computational power, the full RCS distributions of many targets can be computed using electromagnetic (EM) simulations. However, these simulated RCS distributions are not fully exploited by radar designers in system performance prediction. In this paper, we demonstrate the calculation of the required SNR of a radar system for a given probability of detection (PD) and probability of false alarm (Pfa) using the EM-simulated RCS probability mass function (pmf) for the case of a coherent detector.\",\"PeriodicalId\":185932,\"journal\":{\"name\":\"2016 IEEE Radar Conference (RadarConf)\",\"volume\":\"172 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Radar Conference (RadarConf)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.2016.7485300\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Radar Conference (RadarConf)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2016.7485300","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Radar detector performance analysis using EM simulations of targets' RCS
In radar detector performance analysis, it is known there exist targets that do not follow commonly used radar cross-section (RCS) fluctuation models such as the Swerling models. With advances in computational power, the full RCS distributions of many targets can be computed using electromagnetic (EM) simulations. However, these simulated RCS distributions are not fully exploited by radar designers in system performance prediction. In this paper, we demonstrate the calculation of the required SNR of a radar system for a given probability of detection (PD) and probability of false alarm (Pfa) using the EM-simulated RCS probability mass function (pmf) for the case of a coherent detector.
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