A deterministic, eigenvalue approach to space time adaptive processing

The problem of space time adaptive processing (STAP) is approached in a two step process, filtering and detection. For a certain look direction, the signal strength is estimated by a least squares technique. The receiver scans through all possible look directions and returns estimates of signal stre...

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Bibliographic Details
Main Authors: Sheeyun Park, Sarkar, T.K.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive filters
Clutter
Covariance matrix
Eigenvalues and eigenfunctions
Equations
Filtering
Jamming
Least squares approximation
Vectors
Voltage
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Summary:The problem of space time adaptive processing (STAP) is approached in a two step process, filtering and detection. For a certain look direction, the signal strength is estimated by a least squares technique. The receiver scans through all possible look directions and returns estimates of signal strength. From this map, we can employ standard detection techniques (such as CFAR) to extract targets. An N-element uniformly spaced array is considered.
DOI:10.1109/APS.1996.549804