Abstract
This work applies the EM algorithm and a more powerful generalized EM algorithm for ML estimation to the multi-user detection problem. A key feature of the resulting receivers is that they use conditional-mean estimates of the users' bits to reconstruct and cancel multiple-access interference. These soft-decision estimates inherently account for the users SNRs, thereby allowing for effective use of decisions for weaker users in interference cancellation and improving upon performance of comparable hard-decision-based receivers.
| Original language | English (US) |
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| State | Published - 1994 |
| Event | Proceedings of the 1994 IEEE International Symposium on Information Theory - Trodheim, Norw Duration: Jun 27 1994 → Jul 1 1994 |
Other
| Other | Proceedings of the 1994 IEEE International Symposium on Information Theory |
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| City | Trodheim, Norw |
| Period | 6/27/94 → 7/1/94 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Information Systems
- Modeling and Simulation
- Applied Mathematics