Abstract
This paper proposes a two stage algorithm to improve the soft output of the channel demodulation algorithm for a multiple input multiple output (MIMO) system with block fading channels by the Monte Carlo method. In the first stage, the demodulation algorithm, i.e., probability data association detector (PDA) or minimum mean square error (MMSE) algorithm, computes the marginal probability distribution of symbols for each antenna. Then we draw samples from those marginal distributions and use the importance sampling algorithm to correct those distributions to approximate the joint posterior distribution of symbols for all the antennas. Simulation results are given to demonstrate the effectiveness of the new algorithm
| Translated title of the contribution | Improving soft output quality of MIMO demodulation algorithm via importance sampling |
|---|---|
| Original language | English |
| Title of host publication | Fifth International Conference on 3G Mobile Communication Technologies, London |
| Publisher | Institution of Engineering and Technology (IET) |
| Pages | 388 - 391 |
| ISBN (Print) | 0863413889 |
| Publication status | Published - Oct 2004 |
| Event | 5th International Conference on 3G Mobile Communication Technologies - London, United Kingdom Duration: 1 Oct 2004 → … |
Conference
| Conference | 5th International Conference on 3G Mobile Communication Technologies |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 1/10/04 → … |
Bibliographical note
Conference Proceedings/Title of Journal: Fifth International Conference on 3G Mobile Communication Technologies, 2004Rose publication type: Conference contribution
Sponsorship: The authors would like to thank Toshiba TREL Ltd. for sponsoring the work presented in this article and the first author would like to thank Toshiba TREL Ltd. for supporting his PhD study at the University of Bristol
Keywords
- MIMO
- Sequential Monte Carlo
- Importance Sampling