{"title":"一种基于啁啾变换的加速雷达目标检测算法","authors":"V. Galushko, D. Vavriv","doi":"10.23919/EURAD.2018.8546645","DOIUrl":null,"url":null,"abstract":"A chirplet transform-based algorithm is analyzed as a mean for detecting radar targets moving with a constant acceleration. The ambiguity function of the chirp signal associated with radar return from such targets is presented in an analytical form. The improvement of the signal-to-noise ratio provided by the suggested algorithm over the standard Fourier transform is evaluated for the case of chirp signals detectable against a \"white\" noise background. A flowchart for implementation of the suggested algorithm based on the multichannel weighted Fourier transform is presented.","PeriodicalId":171460,"journal":{"name":"2018 15th European Radar Conference (EuRAD)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Chirplet Transform-Based Algorithm for Detecting Accelerated Radar Targets\",\"authors\":\"V. Galushko, D. Vavriv\",\"doi\":\"10.23919/EURAD.2018.8546645\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A chirplet transform-based algorithm is analyzed as a mean for detecting radar targets moving with a constant acceleration. The ambiguity function of the chirp signal associated with radar return from such targets is presented in an analytical form. The improvement of the signal-to-noise ratio provided by the suggested algorithm over the standard Fourier transform is evaluated for the case of chirp signals detectable against a \\\"white\\\" noise background. A flowchart for implementation of the suggested algorithm based on the multichannel weighted Fourier transform is presented.\",\"PeriodicalId\":171460,\"journal\":{\"name\":\"2018 15th European Radar Conference (EuRAD)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 15th European Radar Conference (EuRAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/EURAD.2018.8546645\",\"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 15th European Radar Conference (EuRAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/EURAD.2018.8546645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Chirplet Transform-Based Algorithm for Detecting Accelerated Radar Targets
A chirplet transform-based algorithm is analyzed as a mean for detecting radar targets moving with a constant acceleration. The ambiguity function of the chirp signal associated with radar return from such targets is presented in an analytical form. The improvement of the signal-to-noise ratio provided by the suggested algorithm over the standard Fourier transform is evaluated for the case of chirp signals detectable against a "white" noise background. A flowchart for implementation of the suggested algorithm based on the multichannel weighted Fourier transform is presented.