Knowledge-Aided STAP Using Low Rank and Geometry Properties
نویسندگان
چکیده
منابع مشابه
Knowledge-Aided STAP Using Low Rank and Geometry Properties
This paper presents knowledge-aided space-time adaptive processing (KA-STAP) algorithms that exploit the lowrank dominant clutter and the array geometry properties (LRGP) for airborne radar applications. The core idea is to exploit the fact that the clutter subspace is only determined by the spacetime steering vectors, redwhere the Gram-Schmidt orthogonalization approach is employed to compute ...
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ژورنال
عنوان ژورنال: International Journal of Antennas and Propagation
سال: 2014
ISSN: 1687-5869,1687-5877
DOI: 10.1155/2014/196507