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基于改进遗传算法的STSK系统色散矩阵和3D星座的联合优化
Joint optimization of dispersion matrix and 3D constellation for STSK system based on improved genetic algorithm
- 电信科学 2021年37卷第9期 页码：86-94
- 作者机构：
- 作者简介：
[ "金小萍（1978− ），女，博士，中国计量学院信息工程学院副教授，主要研究方向为MIMO 系统与协作通信系统中检测技术、空间调制系统信号架构和检测技术等" ]
[ "刘家瑜（1997-），男，中国计量大学信息工程学院硕士生，主要研究方向为索引调制技术、空时移位键控系统信号架构和检测技术等" ]
[ "蒋晨（1999− ），女，中国计量大学信息工程学院在读，主要研究方向为通信工程" ]
[ "郭强（1989− ），男，博士，中国计量大学信息工程学院讲师，主要研究方向为信号处理与最优化" ]
- 基金信息：浙江省自然科学基金资助项目;The Natural Science Foundation of Zhejiang Province(LY17F010012);浙江省教育厅研究资助项目;The Research Funding Project of Zhejiang Provincial Department of Education(Y201840047);国家级大学生创新创业训练计划项目;The National College Student Innovation and Entrepreneurship Training Program Project(202010356049);浙江省电磁波信息技术与计量检测重点实验室开放式项目(2019KF0004)
DOI：10.11959/j.issn.1000-0801.2021228
中图分类号： TN929.5-
网络出版日期：2021-09，
纸质出版日期：2021-09-20
- 稿件说明：
移动端阅览
金小萍, 刘家瑜, 蒋晨, 等. 基于改进遗传算法的STSK系统色散矩阵和3D星座的联合优化[J]. 电信科学, 2021,37(9):86-94.
Xiaoping JIN, Jiayu LIU, Chen JIANG, et al. Joint optimization of dispersion matrix and 3D constellation for STSK system based on improved genetic algorithm[J]. Telecommunications science, 2021, 37(9): 86-94.
金小萍, 刘家瑜, 蒋晨, 等. 基于改进遗传算法的STSK系统色散矩阵和3D星座的联合优化[J]. 电信科学, 2021,37(9):86-94. DOI： 10.11959/j.issn.1000-0801.2021228.
Xiaoping JIN, Jiayu LIU, Chen JIANG, et al. Joint optimization of dispersion matrix and 3D constellation for STSK system based on improved genetic algorithm[J]. Telecommunications science, 2021, 37(9): 86-94. DOI： 10.11959/j.issn.1000-0801.2021228.
摘要
空时移位键控（space-time shift keying，STSK）是一种用于多输入多输出（multi-input multi-output， MIMO）通信系统的调制方案，通过预先设计的色散矩阵集（dispersion matrix set，DMS）以实现系统在复用与分集之间的灵活设计。提出了改进的遗传算法（genetic algorithm，GA）辅助DMS和3D星座的联合优化，即将DMS和3D星座联合编码作为GA的染色体，并采用秩与行列式准则对应的编码增益作为总体适应度值。通过高效的选择以及改进的变异和交叉策略，可以获得低误码率（bit error rate，BER）的DMS和3D星座，同时利用3D星座的对称性，大幅度降低了编码增益对应的适应度值的计算复杂度。推导了3D STSK方案的理论平均成对差错概率（ABEP）。仿真结果表明，与传统的 GA 和随机搜索方案相比，本文提出的改进 GA在保证BER性能前提下可以显著降低系统实现的复杂度。
Abstract
Space-time shift keying (STSK) is a modulation scheme used in multi-input multi-output (MIMO) communication systems.It uses a pre-designed dispersion matrix set (DMS) to realize the flexible design of the system between multiplexing and diversity.An improved genetic algorithm (GA) was proposed to assist the joint optimization of DMS and 3D constellations
that is
the DMS and 3D constellations were jointly coded as the chromosome of GA
and the coding gain corresponding to the rank and determinant criterion was adopted as the overall fitness value.Through efficient selection and improved mutation and crossover strategies
DMS and 3D constellations with low bit error rate (BER) can be obtained.At the same time
the symmetry of the 3D constellation was used to greatly reduce the computational complexity of according to the fitness value the coding gain.The theoretical average paired error probability (ABEP) of the 3D STSK scheme was deducted.The simulation results show that
compared with the traditional GA and random search schemes
the improved GA proposed can significantly reduce the complexity of system implementation while ensuring BER performance.
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references
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