Reduced‐dimension clutter suppression method for airborne multiple‐input multiple‐output radar based on three iterations | Zendy

Jie He | Zendy; Dazheng Feng | Zendy; Lun Ma | Zendy

Open Access

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

Author(s) -

Jie He,

Dazheng Feng,

Lun Ma

Publication year - 2015

Publication title -

iet radar, sonar and navigation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.489

H-Index - 82

eISSN - 1751-8792

pISSN - 1751-8784

DOI - 10.1049/iet-rsn.2014.0149

Subject(s) - clutter , dimension (graph theory) , radar , computer science , remote sensing , algorithm , artificial intelligence , mathematics , geography , telecommunications , combinatorics

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.

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