In this paper, we propose iterative multiuser detectors for asynchronous co
de-division multiple-access with parallel-concatenated convolutional codes
(turbo codes) and with serially concatenated convolutional codes (SCCC). At
each iteration we update and exchange the extrinsic information from multi
user detector and channel decoders and regenerate soft information between
constituent convolutional decoders. Simulation results show that with the p
roposed structure, near-single-user performance can be achieved. We also pr
opose two reduced-complexity techniques, i.e., the reduced-state iterative
multiuser detector based on the T-MAP algorithm and the iterative interfere
nce canceler based on a noise-whitening filter. Simulation results show sma
ll performance degradation for these two techniques, particularly for the T
-MAP receiver.