Skip to Main Content
This letter presents a combination of iterative channel equalization and estimation algorithms for mobile users in an interference-prone single carrier (SC) space division multiple access (SDMA) uplink system. It is shown that the soft decision based iterative block decision feedback equalization (SD-IBDFE) with parallel interference cancellation (PIC) and a least squares (LS) adaptation algorithm give significant improvement in estimating the SDMA users' channels in an iterative manner. Also, iterative channel estimation over multiple frames to estimate the desired user's channels provides additional gain. Simulation results show that the combination of these low complexity algorithms gives reasonably good results in interference-dominated doubly selective channels.