No abstract

In this paper, a new M-estimator based multiuser detection in asynchronous flat-fading non-Gaussian CDMA channels is considered. A new closed-form expression is derived for the characteristic function of the multiple-access interference signals. Simulation results are provided to prove the effectiveness of the derived bit-error probabilities obtained with this expression in asynchronous flat-fading non-Gaussian CDMA channels. Keywords-bit-error rate; code-division multiple-access; inter symbol interference; multiuser detection; M-estimation.I.

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.