电子测量与仪器学报

何怡刚,隋永波,Farhan Ali,黄源,程彤彤,宁署光.自适应 OFDM 系统的时域信道预测研究[J].电子测量与仪器学报,2021,35(5):100-110

自适应 OFDM 系统的时域信道预测研究

Research of the time-domain channel prediction for adaptive OFDM systems

DOI：

英文关键词:channel prediction OFDM system recurrence quantification analysis echo state network

基金项目:国家自然科学基金（51977153，51977161，51577046）、国家自然科学基金重点项目（51637004）、国家重点研发计划“重大科学仪器设备开发”项目（2016YFF0102200）、装备预先研究重点项目（41402040301）资助

作者	单位
何怡刚	1.合肥工业大学电气与自动化工程学院
隋永波	1.合肥工业大学电气与自动化工程学院
Farhan Ali	1.合肥工业大学电气与自动化工程学院
黄源	1.合肥工业大学电气与自动化工程学院
程彤彤	1.合肥工业大学电气与自动化工程学院
宁署光	1.合肥工业大学电气与自动化工程学院

Author	Institution
He Yigang	1.School of Electrical and Automation Engineering, Hefei University of Technology
Sui Yongbo	1.School of Electrical and Automation Engineering, Hefei University of Technology
Farhan Ali	1.School of Electrical and Automation Engineering, Hefei University of Technology
Huang Yuan	1.School of Electrical and Automation Engineering, Hefei University of Technology
Cheng Tongtong	1.School of Electrical and Automation Engineering, Hefei University of Technology
Ning Shuguang	1.School of Electrical and Automation Engineering, Hefei University of Technology

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中文摘要:

针对自适应 OFDM 系统,提出了一种新型时域信道预测策略。该策略利用递归量化分析方法,量化并估计信道脉冲响应中每个时延抽头的局部可预测性,然后利用每个时延抽头的局部可预测性筛选出信道脉冲响应中重要的时延抽头;最后,利用基于联合回声状态网络的信道预测器实现各个重要时延抽头的信道预测。在仿真部分,利用基于 IEEE802. 11ah 协议的 OFDM 系统来评估系统的性能。仿真结果表明,通过递归量化分析,可以准确地筛选出信道脉冲响应中重要的时延抽头。除此之外,联合回声状态网络可以产生稀疏的输出权值;而且,由于具有 oracle 属性,提出的联合回声状态网络在基本的回声状态网络的基础上有 91. 57%的预测性能提升。

英文摘要:

In this paper, a novel time-domain channel prediction technique for adaptive OFDM systems is introduced. The novel timedomain channel prediction technique utilizes the RQA to quantify and estimate the local predictability of each time-delay tap in the channel impulse response, and then based on the local predictability of each delay tap, we select those significant time-delay taps in the channel impulse response; finally, the joint echo state network ( JESN) is utilized to predict the channel state information in each significant time-delay tap. In the simulation part, the OFDM system based on the IEEE802. 11ah standard to evaluate the performance. The simulation results show that by the TSS-RQA, those significant time-delay taps in the channel impulse response are accurately selected. In addition, the JESN produces the sparse output weight matrix. Due to the oracle property, the improved prediction performance of the JESN is approximate to 91. 75%, compared to the basic echo state network.

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