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Iterative channel estimation, detection, and decoding in large CDMA systems

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4 Author(s)
Vehkapera, M. ; Dept. Electron. & Telecommun., Norwegian Univ. of Sci. & Technol., Trondheim, Norway ; Takeuchi, K. ; Muller, R. ; Tanaka, T.

The large system analysis of randomly spread direct-sequence code-division multiple-access systems operating over frequency-selective fading channels is considered. Iterative multiuser detection and decoding (MUDD) based on generalized posterior mean estimation and single-user sum-product decoding is assumed to be used at the receiver. The channel state information (CSI) at the MUDD is mismatched and obtained by a linear channel estimator whose initial decisions are iteratively refined with the help of information feedback provided by the MUDD. Furthermore, a new training method by means of probability-biased signaling is proposed. The results indicate that in the large system limit and under certain threshold loads, a near single-user performance with perfect CSI can be achieved using a vanishing training overhead. It is also found that for the considered setups, the iterative linear minimum mean square error based channel estimator is near optimal for relatively slowly time-varying multipath fading channels.

Published in:

Turbo Codes and Iterative Information Processing (ISTC), 2010 6th International Symposium on

Date of Conference:

6-10 Sept. 2010