{"title":"时空自适应处理的自适应信道均衡","authors":"Shunjun Wu, Yingjun Li","doi":"10.1109/RADAR.1995.522621","DOIUrl":null,"url":null,"abstract":"The space-time adaptive processing (STAP) can improve the performance of airborne early warning (AEW) radar. But, the receiver channel mismatch will give rise to much degradation of the performance for STAP. This paper introduces an efficient adaptive channel equalization method which can compensate the channel mismatch automatically by least squares theory. The effect of equalizer parameters on equalization performance is analysed in detail, and a sample of adaptive channel equalizer is given.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Adaptive channel equalization for space-time adaptive processing\",\"authors\":\"Shunjun Wu, Yingjun Li\",\"doi\":\"10.1109/RADAR.1995.522621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The space-time adaptive processing (STAP) can improve the performance of airborne early warning (AEW) radar. But, the receiver channel mismatch will give rise to much degradation of the performance for STAP. This paper introduces an efficient adaptive channel equalization method which can compensate the channel mismatch automatically by least squares theory. The effect of equalizer parameters on equalization performance is analysed in detail, and a sample of adaptive channel equalizer is given.\",\"PeriodicalId\":326587,\"journal\":{\"name\":\"Proceedings International Radar Conference\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Radar Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RADAR.1995.522621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.1995.522621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive channel equalization for space-time adaptive processing
The space-time adaptive processing (STAP) can improve the performance of airborne early warning (AEW) radar. But, the receiver channel mismatch will give rise to much degradation of the performance for STAP. This paper introduces an efficient adaptive channel equalization method which can compensate the channel mismatch automatically by least squares theory. The effect of equalizer parameters on equalization performance is analysed in detail, and a sample of adaptive channel equalizer is given.
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