Low-complexity Turbo-equalization for diversity channels

A low complexity iterative receiver structure is proposed for a convolutionally coded system in a severe ISI environment where diversity reception is available. The receiver performs two successive soft decisions, £rst from a MMSE £lter and then from a channel decoder. At each iteration, extrinsic information is extracted from the detection and decoding stages and is used as a priori information in the next iteration. Simulation results demonstrate that the proposed iterative receiver offers signi£cant performance gain over traditional non-iterative receiver structures. Furthermore, the low-complexity of the receiver permits its use in severe multipath channels (10 or more paths).