{"title":"PCL雷达杂波去除自适应方法的比较","authors":"M. Malanowski","doi":"10.1109/IRS.2006.4338044","DOIUrl":null,"url":null,"abstract":"The paper presents a comparison of classical adaptive filters for suppression of direct path interference and ground clutter in Passive Coherent Location (PCL) radar. The following algorithms were tested: Least Mean Squares, Recursive Least Squares and Least Square Lattice. The filtering methods were compared from the convergence rate, computational complexity and frequency filtering properties point of view.","PeriodicalId":124475,"journal":{"name":"2006 International Radar Symposium","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":"{\"title\":\"Comparison of Adaptive Methods for Clutter Removal in PCL Radar\",\"authors\":\"M. Malanowski\",\"doi\":\"10.1109/IRS.2006.4338044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents a comparison of classical adaptive filters for suppression of direct path interference and ground clutter in Passive Coherent Location (PCL) radar. The following algorithms were tested: Least Mean Squares, Recursive Least Squares and Least Square Lattice. The filtering methods were compared from the convergence rate, computational complexity and frequency filtering properties point of view.\",\"PeriodicalId\":124475,\"journal\":{\"name\":\"2006 International Radar Symposium\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"63\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Radar Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2006.4338044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Radar Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2006.4338044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Comparison of Adaptive Methods for Clutter Removal in PCL Radar
The paper presents a comparison of classical adaptive filters for suppression of direct path interference and ground clutter in Passive Coherent Location (PCL) radar. The following algorithms were tested: Least Mean Squares, Recursive Least Squares and Least Square Lattice. The filtering methods were compared from the convergence rate, computational complexity and frequency filtering properties point of view.