Abstract
In order to improve the performance of signal detection algorithms in spatial modulation systems, we propose an intelligent signal detection algorithm and its improved algorithm based on particle swarm optimization. Efficient signal detection can be achieved by using particles' intelligent searches. Unnecessary local convergence can be avoided by designing weight coefficients for traditional velocity updating formula to improve its performance. Convergence and complexity are analyzed and simulations with different antenna numbers and modulation schemes are executed. Results show that the improved algorithm excels the particle swarm optimization in bit error rate, convergence and computing complexity, all these make it an appealing detection method for spatial modulation receivers.
| Original language | English |
|---|---|
| Pages (from-to) | 41-46 |
| Number of pages | 6 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 47 |
| Issue number | 11 |
| DOIs | |
| State | Published - 30 Nov 2015 |
Keywords
- Maximum likelihood
- Particle swarm optimization
- Spatial modulation
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