A New Updating Algorithm for Blind Multiuser Detection in Impulsive Noise

Abstract

In this paper, a new adaptive algorithm using URV updating for blind multiuser detection in impulsive noise is proposed. It is shown that under this scheme, the linear minimum mean-square-error (MMSE) detector can be obtained blindly, i.e., they can be estimated from the received signal with the prior knowledge of only the signature waveform and timing of the user of interest. A blind adaptive implementation based on URV updating is also developed. The new algorithm need not estimate the subspace rank in order to reduce the computational complexity. Simulation results show that the new algorithm offers substantial performance gains over the traditional subspace methods.