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

• Main Authors: Liu, Aifei, Baker, Christopher J., Teh, Kah Chan, Sun, Hongbo, Gao, Caicai
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Eigensubspace Method; Space-time Adaptive Processing
• Online Access: https://hdl.handle.net/10356/87718; http://hdl.handle.net/10220/45490
• Institution: Nanyang Technological University

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...