Performance of linear detectors for DS/CDMA in impulsive noise channel

A minimum mean-squared error (MMSE) linear correlation receiver has been presented to efficiently suppress multiple access interference (MAI) for direct-sequence code-division multiple-access (DS/CDMA) systems in Gaussian channels. The MMSE linear receiver is near-far resistant so as to reduce the requirement of perfect power control. However, additive non-Gaussian impulsive noise bursts in the realistic communication channels. In this paper, we analyze the performance of a linear correlation receiver operating in the presence of MAI and the ambient noise modeled as a symmetric stable process. We also use the Fourier-Bessel series expansion to approximate the exact form of performance analysis. The learning curves of an adaptive linear correlation receiver with different training methods are then examined by computer simulations.