Multiuser Interference Suppression Based on Complementally Transformed Minimum Variance Technique in Spread Spectrum Communications

摘要

In this paper, a new adaptive method is suggested using the eomplementally transformed minimum variance technique for the purpose of suppressing interference in additive white and colored Gaussian noise channels. The method is based on interference suppression by way of the resulting projection weight. The multiple access causes an interference problem in the code-division multiple access systems. An efficient adaptive algorithm should be used to suppress this interference for the improvement of system performance. Analytical and simulation results show that the new adaptive method has fast convergence rate and offers significant performance gain over the conventional detector, the MMSR detector, and the linear decorrelator. Finally, multipath fading induced performance loss, which leads to error probability lloor, is established for the proposed method with combining schemes and shown by computer simulation.