Low-Complexity Signal Vector Based Detection Algorithm for Spatial Modulation
| Autor: | Yang Jiang, Wang Yuanlu, Wen Jiejun, Li Yibo |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer Networks and Communications
Computer science Attenuation 05 social sciences 050801 communication & media studies 020206 networking & telecommunications 02 engineering and technology Spatial modulation Signal Symbol (chemistry) Low complexity 0508 media and communications Singular value decomposition 0202 electrical engineering electronic engineering information engineering Antenna (radio) Algorithm Computer Science::Information Theory Communication channel |
| Zdroj: | International Journal of Future Generation Communication and Networking. 9:257-268 |
| ISSN: | 2233-7857 |
| DOI: | 10.14257/ijfgcn.2016.9.2.26 |
| Popis: | In this paper, signal vector based detection (SVD) algorithm for spatial modulation (SM) is modified to achieve a near maximum-likelihood (ML) performance and reduces the complexity compared to ML. First, the proposed low-complexity SVD (LC-SVD) algorithm orders the antenna index list based on the angle between the received vector y and the channel vector j h , and then it estimates symbol by compensating the channel attenuation with transmitting antenna index list. We can trade-off between the performance and the complexity by changing the number of the candidate transmitting antennas. The theoretical analysis and simulation results show that the LC-SVD algorithm can achieve a near-ML performance with lower complexity. |
| Databáze: | OpenAIRE |
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