西安电子科技大学学报 ›› 2018, Vol. 45 ›› Issue (6): 99-105.doi: 10.3969/j.issn.1001-2400.2018.06.017

• 研究论文 • 上一篇    下一篇

预编码增益优化的预编码叠加训练设计

王青波;窦高奇;高俊   

  1. (海军工程大学 电子工程学院,武汉 湖北 430033)
  • 收稿日期:2018-01-24 出版日期:2018-12-20 发布日期:2018-12-20
  • 基金资助:
    国家自然科学基金资助项目(61302099);抗干扰国家级重点实验室基金资助项目(61421020405)

Precoding superimposed training design with precoding gain optimization

WANG Qingbo;DOU Gaoqi;GAO Jun   

  1. (School of Electronic Engineering, Naval Univ. of Engineering, Wuhan 430033, China)

  • Received:2018-01-24 Online:2018-12-20 Published:2018-12-20
  • About author:王青波(1992-),男,海军工程大学博士研究生,E-mail: qingbo1992@163.com

摘要: 为获取更优的预编码增益,针对满秩预编码叠加训练模型,通过推导成对错误概率近似表达式,分析该模型中预编码矩阵带来的分集和编码增益,导出相应的优化策略,并据此提出基于线性调频序列的满秩预编码叠加训练方案.该方案采用线性调频序列构建预编码矩阵与训练序列,实现数据与训练的正交传输.与现有方案相比,该方案在相同信道估计性能下可获取更优的编码增益性能.仿真结果表明,该方案在高信噪比环境下可有效提高符号检测性能.采用线性调频序列比多相序列构建预编码矩阵与训练序列能获取更优的编码增益.

关键词: 信道估计, 编码增益, 分集增益, 预编码, 叠加训练

Abstract: To gain a higher precoding gain of the precoder for the full-rank precoding superimposed training model, the diversity and coding gain of the precoder are derived by pair-wise error probability analysis, with optimization strategies provided. Furthermore, chirp sequence-based full-rank precoding superimposed training is proposed. The proposed scheme adopts chirp sequences to construct the precoder and training sequences, so as to realize orthogonal transmission for data and training sequences and achieve a greater coding gain than the existing scheme with the same performance of channel estimation. Simulation results show that the proposed scheme remarkably improves the performance of symbol detection in high signal noise ratio environment. The precoding superimposed training model constructed by chirp sequences achieves a greater coding gain than that constructed by polyphase sequences.

Key words: channel estimation, coding gain, diversity gain, precoding, superimposed training

中图分类号: 

  • TN911.5