Low-Complexity Signal Detection for Generalized Spatial Modulation
Article
Xiao, Y., Yang, Z., Dan, L., Yang, P., Yin, L. and Xiang, W.. 2014. "Low-Complexity Signal Detection for Generalized Spatial Modulation." IEEE Communications Letters. 18 (3), pp. 403-406. https://doi.org/10.1109/LCOMM.2013.123113.132586
| Article Title | Low-Complexity Signal Detection for Generalized Spatial Modulation |
|---|---|
| ERA Journal ID | 5068 |
| Article Category | Article |
| Authors | Xiao, Y., Yang, Z., Dan, L., Yang, P., Yin, L. and Xiang, W. |
| Journal Title | IEEE Communications Letters |
| Journal Citation | 18 (3), pp. 403-406 |
| Number of Pages | 4 |
| Year | Mar 2014 |
| Place of Publication | United States |
| ISSN | 1089-7798 |
| 1558-2558 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/LCOMM.2013.123113.132586 |
| Web Address (URL) | https://ieeexplore.ieee.org/document/6784532 |
| Abstract | Generalized spatial modulation (GSM), in which only part of the transmit antennas are activated in each time slot, was recently proposed as a trade-off between spatial modulation (SM) and vertical Bell laboratories space-time (V-BLAST). Although the maximum likelihood (ML) detector is able to achieve the optimal performance, its exhaustive search leads to intractable computational complexity. In this letter, an efficient signal detection algorithm, termed ordered block minimum mean-squared error (OB-MMSE), is proposed for achieving near-ML performance with low complexity. On one hand, an ordering algorithm is proposed to sort the possible transmit antenna combinations (TACs). On the other hand, the possible signal vector for each ordered TAC is detected by block-MMSE equalization. Simulation results show that the proposed OB-MMSE detector provides similar performance to ML with near 80% reduction in complexity. |
| Keywords | Generalized spatial modulation (GSM); multiple input multiple output (MIMO); maximum likelihood (ML); ordered block minimum mean squared error (OB-MMSE) |
| Public Notes | There are no files associated with this item. |
| Byline Affiliations | University of Electronic Science and Technology of China, China |
| Southeast University, Bangladesh | |
| University of Southern Queensland | |
| Library Services |
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