[1]张建康,赵悠悠,尚应博,等.基于反馈迭代算法的航空通信系统信道估计算法研究[J].郑州大学学报(工学版),2020,41(02):1-6.[doi:10.13705/j.issn.1671-6833.2019.03.004]
 Zhang Jiankang,Zhao Youyou,Shang Yingbo,et al.Feedback-Iterative Channel Estimation Algorithm for Aeronautical Communication System[J].Journal of Zhengzhou University (Engineering Science),2020,41(02):1-6.[doi:10.13705/j.issn.1671-6833.2019.03.004]
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基于反馈迭代算法的航空通信系统信道估计算法研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
41卷
期数:
2020年02期
页码:
1-6
栏目:
出版日期:
2020-05-31

文章信息/Info

Title:
Feedback-Iterative Channel Estimation Algorithm for Aeronautical Communication System
作者:
张建康赵悠悠尚应博穆晓敏
郑州大学信息工程学院
Author(s):
Zhang JiankangZhao YouyouShang YingboMu Xiaomin
School of Information Engineering, Zhengzhou University
关键词:
航空通信导频OFDM信道估计反馈迭代
Keywords:
aviation communicationspilotOFDMchannel estimationfeedback iteration
DOI:
10.13705/j.issn.1671-6833.2019.03.004
文献标志码:
A
摘要:
航空通信系统的时变性和大时延,导致传统信道估计算法存在信道参数估计不精确问题。 为解 决此问题,在建立飞机巡航阶段两径莱斯信道模型的基础上,提出一种反馈迭代信道估计算法。 该算法 核心思想为:首先利用少量原始导频对信道进行粗略时域最小二乘( least-square,LS)估计,并检测传输 信号;之后将检测信号经调制和卷积编码反馈至信道估计器,并作为导频再次进行信道估计;最后将以 上过程经过两次迭代得到最终结果。 仿真结果表明,提出的算法相比无反馈的LS 算法,在信噪比小于20dB 情况下,可获得约2dB 的均方误差增益,从而验证了此迭代估计算法可以起到提高航空信道估计 精确度的效果。
Abstract:
The existing channel estimation algorithms have witnessed the disadvantages of high estimation errordue to the fast time-varying channel and large propagation delay in the aeronautical communication system.This paper proposed an feedback iterative channel estimation algorithm based on the two-path Rice channelmodel for the en-route scenario. The proposed algorithm only used a small pilot overhead for rough least square(LS) channel estimation and signal detection, after being modulated and encoded, the obtained signals werefed back to the channel estimator used as pilot symbols again. Finally, the proposed scheme was capable ofconverging to a stable performance with two iterations. The simulation results demonstrate that the proposedchannel estimation scheme was capable of achieving about 2 dB mean square error when the signal-to-noise ra-tio ( SNR) was less than 20 dB , which verified that this algorithm could improve the accuracy of the aeronauti-cal channel estimation.
更新日期/Last Update: 2020-05-30