{"title":"SINR analysis of multi-waveform STAP","authors":"S. Blunt, J. Metcalf, John Jakabosky, B. Himed","doi":"10.1109/RADAR.2014.7060341","DOIUrl":null,"url":null,"abstract":"A multi-waveform version of space-time adaptive processing denoted as MuW-STAP (or simply μ-STAP) was recently developed that incorporates the training data generated by secondary waveform/filter pairs into the estimation of the sample covariance matrix. This additional training data was found to improve robustness to heterogeneous clutter. Here SINR analysis is used to evaluate the μ-STAP approach under various clutter conditions and with multiple additional sets of training data obtained through the use of multiple different pulse compression filters applied to the same received data.","PeriodicalId":317910,"journal":{"name":"2014 International Radar Conference","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2014.7060341","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A multi-waveform version of space-time adaptive processing denoted as MuW-STAP (or simply μ-STAP) was recently developed that incorporates the training data generated by secondary waveform/filter pairs into the estimation of the sample covariance matrix. This additional training data was found to improve robustness to heterogeneous clutter. Here SINR analysis is used to evaluate the μ-STAP approach under various clutter conditions and with multiple additional sets of training data obtained through the use of multiple different pulse compression filters applied to the same received data.
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