A higher-order-statistics based blind interference cancellator for asynchronous DS/CDMA systems

In this work, a novel DS/CDMA receiver using a High Order Statistics (HOS)-based interference cancellator is presented. In particular, the use of the Shen-Nikias algorithm for multilevel signal estimation in interference-dominated communication systems is proposed. The information signal coming out from the matched filter receiver can be regarded as a multilevel signal corrupted by heavy interference due to other system users (multi-user interference) or introduced by external noise sources. In the proposed analysis we considered only the presence of multiuser interference together with AWGN noise. A heuristic, however reasonable, assumption about the autoregressive nature of the multi-user interference is considered in the paper. BER performance analysis evidences a clear improvement with respect to the conventional matched filter case, thus confirming the validity of the basic assumptions made about statistical properties of MUI and proposing HOS-based techniques as valuable alternatives to other state-of-the-art DS/CDMA detection algorithms.