A semi-parametric approach for robust multiuser detection

Robust parameter estimation in impulsive noise has risen a lot of attention in wireless communications. Previously, we proposed a non-parametric estimator for multiuser detection based on non-parametric density estimation. Here, we present a semi-parametric estimator that outperforms its non-parametric counterpart by combating multiple access interference and impulsive noise altogether. The approach is termed semi-parametric since a nonlinear parametric function is used to transform the noise data while non-parametric estimation of the score function is performed using the transformed sample. This estimate is then used to determine the parameters of interest, i.e., the transmitted symbols. We also propose a parametric function and an estimator for its parameter.