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,发射端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。
In this paper, a novel time-domain channel prediction technique for adaptive OFDM systems is introduced. The novel time-domain 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 IEEE802.11 ah 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 the transmitter. 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.
作者
何怡刚
隋永波
Farhan Ali
黄源
程彤彤
宁暑光
He Yigang;Sui Yongbo;Farhan Ali;Huang Yuan;Cheng Tongtong;Ning Shuguang(School of Electrical and Automation Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2021年第5期100-110,共11页
Journal of Electronic Measurement and Instrumentation
基金
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。
关键词
信道预测
OFDM系统
递归量化分析
回声状态网络
channel prediction
OFDM system
recurrence quantification analysis
echo state network
