Performance of Linear Multiuser Detection in Gaussian and Non-Gaussian Channels (Published)
Direct-sequence code-division multiple access (DS-CDMA) is a popular wireless technology. In DS-CDMA systems, all of the users’ signals overlap in frequency and time and cause multiple access interference (MAI). The conventional DS-CDMA detector follows a single-user detection strategy in which each user ID detected separately without regard for the other users. A better strategy is multiuser detection, where all users’ information are jointly used to improve the detection of each user. In this paper the performance analysis of linear multiuser detectors in the presence of MAI, under the condition of Gaussian, and non Gaussian noise channels in DS-CDMA communication systems have been investigated. Simulation results show that the linear multiuser detectors have more performance gain over the conventional matched filter. The performance of all investigated detectors suffers severely under the condition of impulsive noise channels.
Keywords: DS-CDMA, Decorrelating, MMSE, Matched Filter, Multiuser Detection, Non-Gaussian Noise.