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DCO-OFDM系统压缩感知水下光通信信道估计方法 被引量:6

Compressed sensing underwater optical communication channel estimation method of DCO-OFDM system
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摘要 针对传统信道估计算法导频开销大而直流偏置光正交频分复用(DCO-OFDM)系统频带利用率低的问题,提出了基于压缩感知深度优先多路径匹配追踪(MMP-DF)的水下光信道估计方法。该方法利用DCO-OFDM系统的导频处频域响应构建压缩感知模型,将MMP-DF算法用于水下光信道估计中,进而估计出信道时域脉冲响应。仿真结果表明:在DCO-OFDM系统中,与传统信道估计算法相比,该方法所需导频开销小但估计精度高;导频数量较少时,估计精度优于正交匹配追踪(OMP)算法。 Aiming at the problems of high pilot overhead of traditional channel estimation algorithm and low frequency utilization of the underwater direct current optical orthogonal frequency division multiplexing(DCO-OFDM)system,an underwater optical channel estimation method based on compressed sensing depth-first multi-path matching pursuit(MMP-DF)is proposed.Based on the frequency domain response at the pilot frequency of DCO-OFDM system,this method constructs a compressed sensing model applies the MMP-DF algorithm to underwater optical channel estimation,and then estimates the channel time-domain impulse response.Simulation results show that in the DCO-OFDM system,compared with the traditional channel estimation algorithm,this method requires less pilot overhead and high estimation accuracy.When the number of pilots is small,the estimation accuracy of MMP-DF algorithm is better than orthogonal matching pursuit(OMP)algorithm.
作者 胡云云 李晓记 李燕龙 阎威龙 杜卫海 高天 HU Yunyun;LI Xiaoji;LI Yanlong;YAN Weilong;DU Weihai;GAO Tian(College of Information and Communication,Guilin University of Electronic Technology,Guilin Guangxi 541004,China;Ministry of Education Key Lab of Cognitive Radio and Information Processing,Guilin Guangxi 541004,China)
出处 《光通信技术》 北大核心 2020年第7期28-31,共4页 Optical Communication Technology
基金 国家自然科学基金(61761014)资助 广西自然科学基金(2018GXNSFBA281131)资助 广西重点研发计划资助项目(桂科AB18126030)资助 广西信息科学实验中心项目(编号:PT1604)资助。
关键词 水下可见光通信 直流偏置光正交频分复用 信道估计 多路径匹配追踪 压缩感知 underwater visible light communication direct current optical orthogonal frequency division multiplexing channel estimation multi-path matching pursuit compressed sensing
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参考文献2

  • 1张明轩..无线可见光通信关键技术研究[D].东南大学,2016:
  • 2何雪云..基于压缩感知的无线OFDM信道估计及导频优化研究[D].南京邮电大学,2015:

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