Eigensubspace method for space–time adaptive processing in the presence of non-i.i.d. clutter and array errors

Eigensubspace method for space–time adaptive processing in the presence of non-i.i.d. clutter and array errors

This study examines space-time adaptive processing in the presence of non-independent and identically distributed (i.i.d.) clutter and array errors. The authors propose a clutter rank estimation method by exploring the spatial-temporal steering vectors of clutter. The proposed method is independent...

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書目詳細資料
Main Authors:	Liu, Aifei, Baker, Christopher J., Teh, Kah Chan, Sun, Hongbo, Gao, Caicai
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2018
主題:	Eigensubspace Method Space-time Adaptive Processing
在線閱讀:	https://hdl.handle.net/10356/87718 http://hdl.handle.net/10220/45490
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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