{"title":"The skew-canceling method in spatial-temporal processing","authors":"Qian Huisheng, Xie Sheng-xi, Zhang Wenwen","doi":"10.1109/ICR.1996.574471","DOIUrl":null,"url":null,"abstract":"This paper presents a non-adaptive spatial-temporal 2-D signal processing for suppressing ground clutter received from side-looking phased array of airborne early warning radar. Since the clutter signal has the same complex envelope value located in a skew line of 2-D plane, the skew-canceling processing can completely cancel the clutter with the value of the corresponding canceling point on this skew line. Two methods based on this idea are introduced. Simulation shows that both computational loads are light, while the performance of the signal detection is approximately optimal and the real-time processing is easy to realize.","PeriodicalId":144063,"journal":{"name":"Proceedings of International Radar Conference","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICR.1996.574471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a non-adaptive spatial-temporal 2-D signal processing for suppressing ground clutter received from side-looking phased array of airborne early warning radar. Since the clutter signal has the same complex envelope value located in a skew line of 2-D plane, the skew-canceling processing can completely cancel the clutter with the value of the corresponding canceling point on this skew line. Two methods based on this idea are introduced. Simulation shows that both computational loads are light, while the performance of the signal detection is approximately optimal and the real-time processing is easy to realize.
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