Adaptive algorithms for noise subspace estimation with application to MC-CDMA
Samir Attallah · 2003
In this paper, we propose two new adaptive algorithms for noise subspace estimation and tracking that are based on Rayleigh's quotient. They have a low computational complexity, a fast convergence, an ensured orthogonality of the subspace vectors, and a good numerical stability. We also show how these algorithms can be used for blind channel estimation in a MC-CDMA system.