The Generalized Rayleigh's Quotient Adaptive Noise Subspace Algorithm: A Householder Transformation based Implementation

Recently, we have proposed a low cost adaptive algorithm for noise (or minor) subspace estimation that is based on the generalized Rayleigh's quotient. In this paper, we show how to stabilize this algorithm using householder transformation without causing any significant increase in its computational complexity. We also show how to apply this algorithm to blind channel estimation in a MC-CDMA system