{"title":"谐波信号检测算法与二阶自回归海杂波模型的综合","authors":"I. Prokopenko, V. Vovk, K. Prokopenko","doi":"10.23919/IRS.2018.8448064","DOIUrl":null,"url":null,"abstract":"A short-time autocorrelation function of reflections from sea surface can be described by exp-cosine model. It means that such reflections can be modeled as secondorder autoregressive (AR) process. We synthesize optimal algorithm for detection of harmonic signal with known frequency and unknown phase in correlated sea clutter; AR model parameters can be estimated either from clutter model or directly from measured data. This algorithm can be used for detection of high-speed targets in sea clutter by centimeter-wave radar.","PeriodicalId":436201,"journal":{"name":"2018 19th International Radar Symposium (IRS)","volume":"127 36","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthesis of Detection Algorithm for Harmonic Signal and Second-Order Autoregressive Sea Clutter Model\",\"authors\":\"I. Prokopenko, V. Vovk, K. Prokopenko\",\"doi\":\"10.23919/IRS.2018.8448064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A short-time autocorrelation function of reflections from sea surface can be described by exp-cosine model. It means that such reflections can be modeled as secondorder autoregressive (AR) process. We synthesize optimal algorithm for detection of harmonic signal with known frequency and unknown phase in correlated sea clutter; AR model parameters can be estimated either from clutter model or directly from measured data. This algorithm can be used for detection of high-speed targets in sea clutter by centimeter-wave radar.\",\"PeriodicalId\":436201,\"journal\":{\"name\":\"2018 19th International Radar Symposium (IRS)\",\"volume\":\"127 36\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 19th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/IRS.2018.8448064\",\"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 19th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/IRS.2018.8448064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synthesis of Detection Algorithm for Harmonic Signal and Second-Order Autoregressive Sea Clutter Model
A short-time autocorrelation function of reflections from sea surface can be described by exp-cosine model. It means that such reflections can be modeled as secondorder autoregressive (AR) process. We synthesize optimal algorithm for detection of harmonic signal with known frequency and unknown phase in correlated sea clutter; AR model parameters can be estimated either from clutter model or directly from measured data. This algorithm can be used for detection of high-speed targets in sea clutter by centimeter-wave radar.
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