ICA based blind adaptive MAI suppression in DS-CDMA systems

The performance of existing multiuser detectors is dependent on the available information about the structure of multiple access interference (MAI). The decorrelating detector requires complete knowledge of MAI. The minimum output energy (MOE) detector is a semiblind approach which exploits the information about the desired user only. The performance of the MOE detector is suboptimal compared to that of the decorrelator. The proposed approach is a semiblind code constrained-independent component analysis (CC-ICA) based approach that exploits the prior information about the signature code of the desired user to constrain the ICA vector to lie in the orthogonal complement of the interfering users data. Simulation results indicate that the performance of the proposed approach approaches that of the decorrelator using much less prior information.