Name
Title | ||
|---|---|---|
Em Channel Estimation And Data Detection For Mimo-Cdma Systems Over Slow-Fading Channels |
Abstract | ||
|---|---|---|
In this paper, we present an iterative joint channel estimation and data detection technique for multiple-input multiple-output (MIMO) code-division multiple-access (CDMA) systems over Rayleigh fading channels. The proposed receiver performs the channel estimation and data detection using the expectation-maximization (EM) algorithm. We derive a closed-form expression for the optimized weight coefficients of the EM algorithm which is shown to provide a large performance improvement relative to the conventional equal-weight EM-based signal decomposition. Our results show that the receiver can achieve near-optimum performance with modest complexity using very few training symbols. Furthermore, our simulation results confirm that the proposed receiver is near-far resistant and offers fast convergence in severe near-far scenarios. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/VETECF.2010.5594161 | 2010 IEEE 72ND VEHICULAR TECHNOLOGY CONFERENCE FALL |
Keywords | Field | DocType |
Space-time systems, expectation-maximization, code-division multiple-access | Rayleigh fading,Computer science,Fading,Expectation–maximization algorithm,MIMO,Communication channel,Electronic engineering,Code division multiple access,Performance improvement,Bit error rate | Conference |
ISSN | Citations | PageRank |
1550-2252 | 0 | 0.34 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayman Assra | 1 | 34 | 4.88 |
| Walaa Hamouda | 2 | 585 | 62.64 |
| Amr Youssef | 3 | 238 | 29.69 |