Adaptive subspace nulling based on Karhunen-Loeve expansion
Wasin So, Allan O. Steinhardt · 1992
Conventional approaches require at least 2N snapshot vectors for an N-element adaptive array for reliable estimation of the noise covariance matrix used in weight vector selection. In all-digital subspace beamforming, a matrix transformation is performed on each of these data snapshot vectors to reduce their dimensions from N to P, where P>