{"title":"基于特征估计的雷达PRI分类新方法","authors":"Pawan Barnwal, Dhaval J. Upadhyay, S. Bera","doi":"10.23919/URSIAP-RASC.2019.8738194","DOIUrl":null,"url":null,"abstract":"Pulse Repetition Interval (PRI) timing and its modulation types are significant features of any Radar to comprehend its capabilities and functionalities. In this paper, an algorithm has been proposed to classify PRI modulation by estimating features from time of arrival (ToA) and its difference (dToA) of a pulse radar. Performance of the proposed algorithm is also verified for different PRI modulations with different percentage of missing pulses. PRI modulation type classified covers Dwell and Switch (DS) of 2 to 64 level, Staggered PRI of 2 to 64 levels, Jittered PRI with 20% Gaussian deviation and Sliding PRI. Estimation of features is improved by selection of an optimal window of histogram. Level of staggered/ DS PRI has also been estimated using Kernel Density Estimator (KDE) with an epanechnikov window with length $N^{0.8}$ where, N is total count of dToA. Upon classification, PRI estimation for each modulation type is also estimated.","PeriodicalId":344386,"journal":{"name":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Approach For Radar PRI Classification Based on Features Estimation\",\"authors\":\"Pawan Barnwal, Dhaval J. Upadhyay, S. Bera\",\"doi\":\"10.23919/URSIAP-RASC.2019.8738194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pulse Repetition Interval (PRI) timing and its modulation types are significant features of any Radar to comprehend its capabilities and functionalities. In this paper, an algorithm has been proposed to classify PRI modulation by estimating features from time of arrival (ToA) and its difference (dToA) of a pulse radar. Performance of the proposed algorithm is also verified for different PRI modulations with different percentage of missing pulses. PRI modulation type classified covers Dwell and Switch (DS) of 2 to 64 level, Staggered PRI of 2 to 64 levels, Jittered PRI with 20% Gaussian deviation and Sliding PRI. Estimation of features is improved by selection of an optimal window of histogram. Level of staggered/ DS PRI has also been estimated using Kernel Density Estimator (KDE) with an epanechnikov window with length $N^{0.8}$ where, N is total count of dToA. Upon classification, PRI estimation for each modulation type is also estimated.\",\"PeriodicalId\":344386,\"journal\":{\"name\":\"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)\",\"volume\":\"302 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/URSIAP-RASC.2019.8738194\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 URSI Asia-Pacific Radio Science Conference (AP-RASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/URSIAP-RASC.2019.8738194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
脉冲重复间隔(PRI)定时及其调制类型是任何雷达的重要特征，以了解其能力和功能。本文提出了一种通过估计脉冲雷达的到达时间(ToA)及其差值(dToA)特征来分类PRI调制的算法。在不同缺失脉冲比例的PRI调制下，验证了该算法的性能。分类的PRI调制类型包括2 ~ 64级的Dwell and Switch (DS)、2 ~ 64级的交错PRI、20%高斯偏差的抖动PRI和滑动PRI。通过选择最优直方图窗口来改进特征估计。使用核密度估计器(KDE)估计交错/ DS PRI的水平，并使用长度为$N^{0.8}$的epanechnikov窗口，其中N为dToA的总计数。分类后，还估计了每种调制类型的PRI估计。
A Novel Approach For Radar PRI Classification Based on Features Estimation
Pulse Repetition Interval (PRI) timing and its modulation types are significant features of any Radar to comprehend its capabilities and functionalities. In this paper, an algorithm has been proposed to classify PRI modulation by estimating features from time of arrival (ToA) and its difference (dToA) of a pulse radar. Performance of the proposed algorithm is also verified for different PRI modulations with different percentage of missing pulses. PRI modulation type classified covers Dwell and Switch (DS) of 2 to 64 level, Staggered PRI of 2 to 64 levels, Jittered PRI with 20% Gaussian deviation and Sliding PRI. Estimation of features is improved by selection of an optimal window of histogram. Level of staggered/ DS PRI has also been estimated using Kernel Density Estimator (KDE) with an epanechnikov window with length $N^{0.8}$ where, N is total count of dToA. Upon classification, PRI estimation for each modulation type is also estimated.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
