采用隐序列估计无线光信道时直流偏置的消除

王惠琴; 胡秋; 黄瑞; 曹明华

doi:10.3788/OPE.20172510.2759

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采用隐序列估计无线光信道时直流偏置的消除

信息科学 | 更新时间：2020-08-13

- 采用隐序列估计无线光信道时直流偏置的消除
- DC offset elimination in wireless optical channel estimation by employing implicit sequence
- 光学精密工程 2017年25卷第10期页码：2759-2766
- 作者机构：
  
  兰州理工大学计算机与通信学院, 甘肃兰州 730050
- 作者简介：
  
  [ "王惠琴(1972-), 女, 甘肃渭源人, 博士, 2011年于西安理工大学获得博士学位, 现为兰州理工大学计算计与通信学院教授, 主要从事无线光通信理论与技术方面的研究工作.Email:whq1222@lut.cn" ]
  [ " 曹明华(1979-), 男, 甘肃平凉人, 副教授, 硕士生导师, 2016年于北京邮电大学获得博士学位, 主要从事光无线通信理论与技术方面的研究.E-mail:caominghua@lut.cn " ]
- 基金信息：
  
  国家自然科学基金资助项目(61465007);国家自然科学基金资助项目(61265003);兰州理工大学博士基金资助项目(14-0232)
- DOI：10.3788/OPE.20172510.2759
  中图分类号： TN929.12
- 收稿日期：2017-04-28，
  
  录用日期：2017-7-4，
  
  纸质出版日期：2017-10-25
- 稿件说明：
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王惠琴, 胡秋, 黄瑞, 等. 采用隐序列估计无线光信道时直流偏置的消除[J]. 光学精密工程, 2017,25(10):2759-2766.

Hui-qin WANG, Qiu HU, Rui HUANG, et al. DC offset elimination in wireless optical channel estimation by employing implicit sequence[J]. Optics and precision engineering, 2017, 25(10): 2759-2766.
王惠琴, 胡秋, 黄瑞, 等. 采用隐序列估计无线光信道时直流偏置的消除[J]. 光学精密工程, 2017,25(10):2759-2766. DOI： 10.3788/OPE.20172510.2759.

Hui-qin WANG, Qiu HU, Rui HUANG, et al. DC offset elimination in wireless optical channel estimation by employing implicit sequence[J]. Optics and precision engineering, 2017, 25(10): 2759-2766. DOI： 10.3788/OPE.20172510.2759.

摘要

针对在无线光通信系统中采用隐序列信道估计时存在的直流偏置问题，提出了一种利用信道状态参数消除直流偏置的新的隐序列信道估计方法，并对影响系统性能的关键因素进行了研究。采用均衡后输出信噪比最大准则推导并获得了最优功率分配因子，并用仿真实验分析了该方法的均方误差、计算复杂度等性能参数以及应用该方法后系统的误码率等。仿真结果显示：采用该方法有效地减小了直流偏置对系统性能的影响，与传统隐序列信道估计方法相比，其均方误差减小了约1/2，且均衡后系统的误码性能得到了明显改善；在最佳功率分配条件下，当误码率为4×10

-3

时，直流偏置分别为0.2和0.4对应系统的信噪比分别改善了约2 dB和6 dB，而计算复杂度仅增加了14.2%。

Abstract

For the DC offsets caused by traditional implicit sequence based channel estimation in wireless optical communication links

a novel implicit sequence based channel estimation method was proposed to eliminate the DC offsets. Some key factors affecting the system performance were investigated. The maximum output Signal-to-Noise Ratio (SNR) criterion was used to derive the optimal power allocation factor. Then

a simulation experiment was performed to evaluate its mean square error

bit error rate and computational complexity. The results show that the proposed method effectively eliminates the influence of DC offset. on the system performance. Compared to the traditional method

the mean square error is reduced by about 1/2 and the bit error rate is significantly improved. Under the optimal power distribution conditions

when the bit error rate is 4×10

-3

the SNRs of 0.2 and 0.4 DC offset scenarios are improved by about 2 dB and 6d B

respectively

while the computational complexity is only increased by 14.2%.

关键词

Keywords

references

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