Commercial cellular networks, like the systems based on Direct Sequence-Code Division Multiple Access (DS-CDMA), face many types of interferences such as multiuser interference inside each sector in a cell to interoperate interference. While unintentional jamming can be present due to coexisting systems at the same band, intentional jamming arises mainly in military applications. Independent Component Analysis (ICA) has been used as an advanced preprocessing tool for blind suppression of interfering signals in DS-CDMA communication systems. The role of ICA is to provide an interference-mitigated signal to the conventional detection. This paper evaluates the performance of the PearsonICA algorithm to solve the symbol estimation problem of multiusers in a DS-CDMA communication system. The main focus is on blind separation of convolved CDMA mixture and on improvement of the downlink symbol estimation. The results of the numerical experiments are compared with those obtained by the Single User Detection (SUD) receiver, the ICA detector and the combined SUD-ICA detector.

This paper evaluates the performance of the PearsonICA algorithm to solve the symbol estimation problem of multiusers in a Direct Sequence-Code Division Multiple Access (DS-CDMA) communication system. The need to solve this problem arises because wireless communication networks and systems, such as those used in mobile phones, have an essential challenge in dividing this common transmission medium among several users. The primary goal of any communication system is to enable each user of the system to communicate reliably despite the fact that other users share the same resources, possibly simultaneously. As the number of users in a system grows, it becomes necessary to improve the efficiency of these common communication resources.

Various communication systems based on CDMA techniques have become popular because they offer several advantages over the more traditional Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA) schemes, based on the use of non-overlapping frequencies or time slots assigned to each user. The capacity of a CDMA-based communication system is larger and it degrades gradually with increasing number of simultaneous users who can be asynchronous. CDMA systems require more advanced signal processing methods, and correct reception of CDMA signals is more difficult because of several disturbing phenomena such as multipath propagation, possibly fading channels, various types of interferences, time delays, and different powers of users (Proakis, 2001; and Ristaniemi et al., 2002a and 2002b).

Telecommunications Journal, Independent Component Analysis, ICA, Blind Source Separation , BSS, SUD, Direct Sequence-Code Division Multiple Access, DS-CDMA , Frequency Division Multiple Acces, FDMA, Time Division Multiple Access, TDMA, Single User Detection , Symbol Error Rates, SERs.