Efficient blind decoding of MIMO using sequential Monte Carlo
Document Type
Conference Proceeding
Publication Date
9-23-2009
Publication Title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
First Page
2453
Keywords
Kalman filter, Marginalized particle filter (MPF), MIMO, OSTBC, Sequential Monte-Carlo (SMC)
Last Page
2456
Abstract
In this paper, blind decoding of OSTBC based MIMO systems using sequentialMonte-Carlo methods is considered. Similar receivers developed earlier have suffered from the high computational complexity. By introducing some simplification and approximation techniques, we present a new decoding algorithm that requires much less computation. In addition to that, an efficient interlaced maximum likelihood estimator approach is developed to blindly estimate the statistical parameters of the channel. While a comparative analysis on the computational complexity shows significant computational savings, the simulation results show that the performance of the proposed algorithm is not compromised. ©2009 IEEE.
DOI
10.1109/ICASSP.2009.4960118
ISSN
15206149
ISBN
9781424423545
Recommended Citation
Balasingam, Balakumar and Bolic, Miodrag. (2009). Efficient blind decoding of MIMO using sequential Monte Carlo. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2453-2456.
https://scholar.uwindsor.ca/computersciencepub/168