An Extrinsic Kalman Filter for iterative multiuser decoding
Artikel i vetenskaplig tidskrift, 2004

One powerful approach for multiuser decoding is to iterate between a linear multiuser filter (which ignores coding constraints) and individual decoders (which ignore multiple-access interference). Subject to clearly formulated statistical assumptions and the history of input signals provided by the outer decoders over all previous iterations, an extrinsic Kalman filter is suggested. This approach is motivated by the recent observation that decoder outputs are loosely correlated during initial iterations. Numerical results show that iterative decoding using this filter provides better performance in terms of the supportable load and convergence speed as compared to previously suggested linear-filter-based iterative decoders.

iterative decoding

recursive filters

multiuser detection

multiple access

Kalman filtering


Lars K. Rasmussen

Chalmers, Institutionen för datorteknik

A. J. Grant

University of South Australia

P. D. Alexander

University of South Australia

IEEE Transactions on Information Theory

0018-9448 (ISSN)

Vol. 50 642-648


Data- och informationsvetenskap