Blind Adaptive Multiuser Detection under Multi-Path Channel

Abstract

A new blind adaptive multi-user detection scheme based on the RLS filter and subspace estimation is proposed. It is shown that the detector can be expressed as an anchored signal in the signal subspace and the coefficients can be estimated by the RLS filter just by using the signature waveform and the timing of the desired user. The subspace- based algorithm brings the benefit from the lower computational complexity than the full-rank approach; The theoretical analysis indicates that the proposed algorithm has better convergence performance.