Iterative Interference Cancellation and Channel Estimation for Mobile SC-FDE Systems

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.