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

This paper 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.