Space-time autoregressive filtering for matched subspace STAP

Practical space-time adaptive processing (STAP) implementations rely on reduced-dimension processing, using techniques such as principle components or partially adaptive filters. The dimension reduction not only decreases the computational load, it also reduces the sample support required for estima...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2003-04, Vol.39 (2), p.510-520
Hauptverfasser:	Parker, P., Swindlehurst, A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive filters Clutter Computation Computational modeling Detectors Economic models Filtering Interference Jamming Matched filters Parametric statistics Reduction Samples Signal to noise ratio Statistical analysis Statistical methods Studies Subspaces
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