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出 处:《Chinese Journal of Aeronautics》2001年第4期229-234,共6页中国航空学报(英文版)
摘 要:In the airborne radar space-time adaptive processing (STAP), the interference covariance matrix must be estimated from the IID samples which are always limited in practice. Aimed at this problem, this paper studies the combination of the forward-backward averaging (FB), diagonal loading (DL) and the reduced-rank processing to reduce the required sample number as much as possible. Through analysis and simulations, it is demonstrated that by using proper reduced-rank processing, combined with FB and DL, the required sample number can be largely reduced to even 3-5 samples.In the airborne radar space-time adaptive processing (STAP), the interference covariance matrix must be estimated from the IID samples which are always limited in practice. Aimed at this problem, this paper studies the combination of the forward-backward averaging (FB), diagonal loading (DL) and the reduced-rank processing to reduce the required sample number as much as possible. Through analysis and simulations, it is demonstrated that by using proper reduced-rank processing, combined with FB and DL, the required sample number can be largely reduced to even 3-5 samples.
关 键 词:Adaptive filtering ANTENNAS Computer simulation Eigenvalues and eigenfunctions Matrix algebra Radar clutter Signal to noise ratio
分 类 号:V243[航空宇航科学与技术—飞行器设计] TN95[电子电信—信号与信息处理]
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