Name
Abstract | ||
|---|---|---|
We present a low-complexity maximum likelihood (ML) detector for a coded double space-time transmit diversity-orthogonal frequency division multiplexing (DSTTD-OFDM) system. The proposed ML detector exploits properties of two permuted equivalent channel matrices and multiple decision-feedback (DF) detections. This can reduce computational efforts from O(|A|(4)) to O(2|A|(2)) with maintaining ML performance, where |A| is the modulation order. Numerical results shows that the proposed ML detector obtains ML performance and requires remarkably lower computational loads compared with the conventional ML detector. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietcom/e91-b.3.959 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
double space-time transmit diversity (DSTTD), maximum-likelihood (ML) detection | Antenna diversity,Modulation order,Telecommunications,Detection theory,Computer science,Frequency-division multiplexing,Algorithm,Modulation,Detector,Orthogonal frequency-division multiplexing,Distributed computing,Computational complexity theory | Journal |
Volume | Issue | ISSN |
E91B | 3 | 0916-8516 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyounkuk Kim | 1 | 43 | 8.07 |
| Hyuncheol Park | 2 | 461 | 66.09 |