Performance analysis of convolutionally coded DS-CDMA systems with spatial and temporal channel correlations

Combined spatial and temporal processing has been shown to increase the potential link capacity enormously for wireless communication systems, especially when the channels between different transmit and receive antenna pairs are uncorrelated. We consider both spatial and temporal channel correlations that may be encountered in space-time processing and present the performance analysis of convolutionally coded direct-sequence code-division multiple-access systems. An upper bound for the average bit-error probability (P~/sub b/) is derived for the case of perfect channel estimation, and an analytical approximation for P~/sub b/ is derived in the case of erroneous channel estimates. The analytical approach is general enough to be applicable to various space- and time-diversity situations, such as wideband multipath channels and antenna arrays.