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

Vehkaperä M, Takeuchi K, Müller R, Tanaka T (2010)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2010

Publisher: IEEE

Pages Range: 16-23

Article Number: 5613863

Event location: Brest, France FR

ISBN: 9781424467457

DOI: 10.1109/ISTC.2010.5613863

Abstract

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. © 2010 IEEE.

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APA:

Vehkaperä, M., Takeuchi, K., Müller, R., & Tanaka, T. (2010). Iterative channel estimation, detection, and decoding in large CDMA systems. In Proceedings of the 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010 (pp. 16-23). Brest, France, FR: IEEE.

MLA:

Vehkaperä, Mikko, et al. "Iterative channel estimation, detection, and decoding in large CDMA systems." Proceedings of the 6th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2010, Brest, France IEEE, 2010. 16-23.

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