Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87718
Title: Eigensubspace method for space–time adaptive processing in the presence of non-i.i.d. clutter and array errors
Authors: Liu, Aifei
Baker, Christopher J.
Teh, Kah Chan
Sun, Hongbo
Gao, Caicai
Keywords: Eigensubspace Method
Space-time Adaptive Processing
Issue Date: 2018
Source: Liu, A., Baker, C. J., Teh, K. C., Sun, H., & Gao, C. (2018). Eigensubspace method for space–time adaptive processing in the presence of non-i.i.d. clutter and array errors. IET Radar, Sonar & Navigation, 12(7), 757-765.
Series/Report no.: IET Radar, Sonar & Navigation
Abstract: 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 of clutter statistics and direction-independent array errors. They prove that when the proposed clutter rank estimation is used, the estimate of the clutter subspace is asymptotically independent of clutter statistics. This enables an eigensubspace method to acquire the asymptotic independence on clutter statistics. In addition, they prove that the eigensubspace method can suppress the clutter regardless of direction-independent array errors. They also suggest a geometrical non-homogeneity detector for the eigensubspace method. Simulation and experimental results with multi-channel airborne radar measurement (MCARM) data confirm that the eigensubspace method can suppress non-i.i.d. clutter such as discrete clutter as well as correlated clutter regardless of array gain-phase errors. The ability to suppress clutter regardless of clutter statistics and direction-independent array errors makes the eigensubspace method unique and feasible to the practical scenario when clutter is non-i.i.d. and the direction-independent array errors are present.
URI: https://hdl.handle.net/10356/87718
http://hdl.handle.net/10220/45490
ISSN: 1751-8784
DOI: http://dx.doi.org/10.1049/iet-rsn.2017.0482
Rights: © 2018 Institution of Engineering and Technology. This paper was published in IET Radar, Sonar & Navigation and is made available as an electronic reprint (preprint) with permission of Institution of Engineering and Technology. The published version is available at: [http://dx.doi.org/10.1049/iet-rsn.2017.0482]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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