期刊名称：International Journal of Antennas and Propagation
印刷版ISSN：1687-5869
电子版ISSN：1687-5877
出版年度：2014
卷号：2014
DOI：10.1155/2014/196507
出版社：Hindawi Publishing Corporation
摘要：This paper presents knowledge-aided space-time adaptive processing (KA-STAP) algorithms that
exploit the low-rank dominant clutter and the array geometry properties (LRGP) for airborne radar
applications. The core idea is to exploit the clutter subspace that is only determined by the space-time
steering vectors, by employing the Gram-Schmidt orthogonalization approach to compute the clutter
subspace. Simulation results illustrate the effectiveness of our proposed algorithms.
