{"title":"MATLAB仿真计算检测概率","authors":"A. Lee, M. Mason","doi":"10.1109/NRC.2002.999764","DOIUrl":null,"url":null,"abstract":"This paper presents a MATLAB simulation that computes the probability of detection for a radar. It allows the user to input a wide range of radar characteristics. The target detection method has the capacity for handling fluctuating targets. This is important because actual targets are observed to scintillate and the probability of detection decreases as the signal-to-noise ratio decreases. This paper also considers characteristics of the operational mode of the radar system, such as its PRF (pulse repetition frequency), number of pulses processed, and the necessary range resolving ratio. The simulation utilizes formulas for detection probability associated with a target's range and uses the Swerling cases to model the! target's fluctuating cross section. The goal is to build a MATLAB simulation that can display radar observations in a format that facilitates analysis in range versus azimuth.","PeriodicalId":448055,"journal":{"name":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"MATLAB simulation for computing probability of detection\",\"authors\":\"A. Lee, M. Mason\",\"doi\":\"10.1109/NRC.2002.999764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a MATLAB simulation that computes the probability of detection for a radar. It allows the user to input a wide range of radar characteristics. The target detection method has the capacity for handling fluctuating targets. This is important because actual targets are observed to scintillate and the probability of detection decreases as the signal-to-noise ratio decreases. This paper also considers characteristics of the operational mode of the radar system, such as its PRF (pulse repetition frequency), number of pulses processed, and the necessary range resolving ratio. The simulation utilizes formulas for detection probability associated with a target's range and uses the Swerling cases to model the! target's fluctuating cross section. The goal is to build a MATLAB simulation that can display radar observations in a format that facilitates analysis in range versus azimuth.\",\"PeriodicalId\":448055,\"journal\":{\"name\":\"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.2002.999764\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2002 IEEE Radar Conference (IEEE Cat. No.02CH37322)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2002.999764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MATLAB simulation for computing probability of detection
This paper presents a MATLAB simulation that computes the probability of detection for a radar. It allows the user to input a wide range of radar characteristics. The target detection method has the capacity for handling fluctuating targets. This is important because actual targets are observed to scintillate and the probability of detection decreases as the signal-to-noise ratio decreases. This paper also considers characteristics of the operational mode of the radar system, such as its PRF (pulse repetition frequency), number of pulses processed, and the necessary range resolving ratio. The simulation utilizes formulas for detection probability associated with a target's range and uses the Swerling cases to model the! target's fluctuating cross section. The goal is to build a MATLAB simulation that can display radar observations in a format that facilitates analysis in range versus azimuth.
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