光通信技术, 2020, 44 (7): 28, 网络出版: 2020-08-18  

DCO-OFDM系统压缩感知水下光通信信道估计方法

Compressed sensing underwater optical communication channel estimation method of DCO-OFDM system
作者单位
1 桂林电子科技大学 信息与通信学院, 广西 桂林 541004
2 认知无线电与信息处理教育部重点实验室, 广西 桂林 541004
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。
Abstract
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.

胡云云, 李晓记, 李燕龙, 阎威龙, 杜卫海, 高天. DCO-OFDM系统压缩感知水下光通信信道估计方法[J]. 光通信技术, 2020, 44(7): 28. HU Yunyun, LI Xiaoji, LI Yanlong, YAN Weilong, DU Weihai, GAO Tian. Compressed sensing underwater optical communication channel estimation method of DCO-OFDM system[J]. Optical Communication Technology, 2020, 44(7): 28.

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