Title :
Selecting a reduced-rank transformation for STAP-a direct form perspective
Author :
Berger, Scott D. ; Welsh, Byron M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
fDate :
4/1/1999 12:00:00 AM
Abstract :
We introduce the signal-to-interference plus noise ratio (SINR) metric as a tool for selecting a rank reduction transformation that maximizes the output SINR of a direct form space-time adaptive processor. The SINR metric is used to identify the eigenvectors with the greatest impact on the output SINR which become the columns of the rank reduction transformation. The SINR metric method exhibits a graceful degradation in performance as the rank of the transformation approaches one
Keywords :
adaptive radar; array signal processing; correlation methods; eigenvalues and eigenfunctions; filtering theory; interference suppression; radar signal processing; space-time adaptive processing; SINR metric; correlation matrix; cost function concept; degradation in performance; direct form perspective; eigenvectors identification; rank reduction transformation; reduced-rank transformation; signal-to-interference plus noise ratio; space-time adaptive processing; steering vector; Computational efficiency; Cost function; Degradation; Eigenvalues and eigenfunctions; Government; Interference; Noise reduction; Protection; Signal processing; Signal to noise ratio;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
