| 引用本文: | 刘宁庆,管春萌,张文彬.一种用于空间调制信号检测的改进粒子群算法[J].哈尔滨工业大学学报,2015,47(11):41.DOI:10.11918/j.issn.0367-6234.2015.11.007 |
| LIU Ningqing,GUAN Chunmeng,ZHANG Wenbin.An improved particle swarm optimization algorithm for signal detection in spatial modulation system[J].Journal of Harbin Institute of Technology,2015,47(11):41.DOI:10.11918/j.issn.0367-6234.2015.11.007 |
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| 摘要: |
| 为提高空间调制系统信号检测算法的性能,提出基于粒子群的智能信号检测算法及其改进算法．利用粒子智能化搜索,实现信号高效检测;设计权重系数对传统速度更新公式进行修改,避免粒子群陷入局部收敛从而进一步提高算法的检测性能．通过对改进算法的收敛性和复杂度进行理论分析,并在不同天线数目和不同调制方式下对其误码性能进行仿真,仿真结果表明:与传统的粒子群算法相比,本文提出的改进算法具有计算复杂度低、误码率低、收敛快的优点,可作为空间调制接收机的有效备选算法． |
| 关键词: 空间调制 最大似然法 粒子群算法 |
| DOI：10.11918/j.issn.0367-6234.2015.11.007 |
| 分类号:TN911.23 |
| 基金项目: |
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| An improved particle swarm optimization algorithm for signal detection in spatial modulation system |
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LIU Ningqing, GUAN Chunmeng, ZHANG Wenbin
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(Communication Research Center, Harbin Institute of Technology, 150080 Harbin, China)
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| Abstract: |
| In order to improve the performance of signal detection algorithms in spatial modulation systems, we propose an intelligent signal detectionalgorithm 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. |
| Key words: spatial modulation maximum likelihood particle swarm optimization |
