Reduced-dimension clutter suppression method for airborne multiple-input multiple-output radar based on three iterations

A reduced-dimension space time adaptive processing (STAP) for airborne multiple-input multiple-output (MIMO) radar based on three iterations is proposed. The optimum filter for MIMO-STAP is described as a separable filter, and the optimal weight vector in high dimension can be iteratively solved by...

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Bibliographic Details
Published in:IET radar, sonar & navigation sonar & navigation, 2015-03, Vol.9 (3), p.249-254
Main Authors: Jie, He, Da-zheng, Feng, Lun, Ma
Format: Article
Language:English
Subjects:
adaptive filters
airborne multiple‐input multiple‐output radar
Airborne radar
Clutter
computational complexity
iteration method
Iterative methods
Mathematical analysis
MIMO radar
Navigation
optimal MIMO‐STAP
optimal weight vector
Optimization
optimum filter
Radar
radar clutter
radar signal processing
reduced‐dimension clutter suppression method
space‐time adaptive processing
Vectors (mathematics)
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Description
Summary:A reduced-dimension space time adaptive processing (STAP) for airborne multiple-input multiple-output (MIMO) radar based on three iterations is proposed. The optimum filter for MIMO-STAP is described as a separable filter, and the optimal weight vector in high dimension can be iteratively solved by three lower dimension weight vectors. Consequently, the quite high sample support and computational complexity in optimal MIMO-STAP can be efficiently reduced. For short data records, the proposed method can achieve better clutter suppression performance. Simulation results demonstrate the effectiveness of the proposed method.
ISSN:1751-8784
1751-8792
1751-8792
DOI:10.1049/iet-rsn.2014.0149