广域激光通信PPM信号时频域联合降噪方法研究（特邀）

刘天岑; 李杨; 罗瑞耀; 罗群; 顾乃庭

doi:10.13756/j.gtxyj.2026.250370

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广域激光通信PPM信号时频域联合降噪方法研究（特邀）

专题：面向6G的无线光通信 | 更新时间：2026-04-20

- 广域激光通信PPM信号时频域联合降噪方法研究（特邀）
- Time-Frequency Joint Denoising for PPM Signals in Wide-Area Laser Communication
- 光通信研究 2026年第2期
- 作者机构：
  
  1.国防科技大学　前沿交叉学科学院，长沙　410073
  2.自适应光学全国重点实验室，成都　610209
  3.中国科学院光电技术研究所，成都　610209
  4.中国科学院大学，北京　100049
- 作者简介：
  
  刘天岑（1999-），男，福建龙岩人。硕士，主要研究方向为激光通信技术。
  李杨，副研究员。E-mail：liyang@ioe.ac.cn
  顾乃庭，教授。E-mail：gnt7328@163.com
- 基金信息：
  
  国家自然科学基金资助项目(12293031;12022308;61905252);国家重点研发计划资助项目(2021YFC2202200;2021YFC2202204)
- DOI：10.13756/j.gtxyj.2026.250370
  中图分类号： O439
- 收稿：2025-12-02，
  
  修回：2026-01-12，
  
  纸质出版：2026-04-10
- 稿件说明：
移动端阅览
刘天岑，李杨，罗瑞耀，等. 广域激光通信PPM信号时频域联合降噪方法研究[J]. 光通信研究，2026(2): 250370.

Liu T C, Li Y, Luo R Y, et al. Time-Frequency Joint Denoising for PPM Signals in Wide-Area Laser Communication[J]. Study on Optical Communications, 2026(2): 250370.
刘天岑，李杨，罗瑞耀，等. 广域激光通信PPM信号时频域联合降噪方法研究[J]. 光通信研究，2026(2): 250370. DOI： 10.13756/j.gtxyj.2026.250370.

Liu T C, Li Y, Luo R Y, et al. Time-Frequency Joint Denoising for PPM Signals in Wide-Area Laser Communication[J]. Study on Optical Communications, 2026(2): 250370. DOI： 10.13756/j.gtxyj.2026.250370.

摘要

目的

广域激光通信中，脉冲位置调制（PPM）信号易受传输距离导致的能量平方衰减和天光背景噪声叠加的影响，引发信噪比（SNR）显著恶化，严重制约通信质量。针对低SNR场景下的通信性能瓶颈，文章提出了一种PPM信号时频域联合降噪方法，旨在显著提升低SNR下的广域激光通信质量。

方法

文章针对PPM信号优化提出了基于多模态特征融合的自适应降噪方法，通过构建小波分解与自适应滑动平均滤波的协同处理模块，结合幂次方脉冲信号增强技术，实现时频域协同降噪与脉冲特征强化的双重优化，突破传统单模态降噪方法在动态噪声环境下的性能瓶颈。

结果

数值仿真和实验验证表明，在4阶PPM调制模式下，该方法使误码率（BER）达到10

-6

时所需的最低SNR较传统小波方法降低了3.5 dB（约2.2倍），展现出更优的低SNR适配能力。

结论

文章所提方法创新性地将承载PPM信号核心能量的近似系数作为处理重点，实现高效滤波，为广域激光通信技术长距离和复杂环境下的工程应用提供了有效途径和坚实理论基础。

Abstract

Objective

In wide-area laser communication

Pulse Position Modulation (PPM) signals are susceptible to square-law energy attenuation caused by transmission distance and superposition of sky background noise

leading to significant deterioration of Signal-to-Noise Ratio (SNR) and severely restricting the communication quality. To address these issues

this paper proposes a time-frequency domain joint denoising method for PPM signals

aiming to significantly improve the quality of wide-area laser communication under low SNR conditions.

Methods

For the first time

an adaptive denoising method based on multimodal feature fusion is proposed. By constructing a cooperative processing module of wavelet decomposition and adaptive moving average filtering

combined with power-law pulse signal enhancement technology

dual optimization of time-frequency domain cooperative denoising and pulse feature enhancement is achieved

thereby overcoming the performance bottleneck of traditional single-modal denoising methods in dynamic noise environments.

Results

Numerical simulations and experimental verifications show that in the 4-ary PPM modulation mode

the minimum SNR required by the proposed method to achieve

a Bit Error Rate (BER) of 10

-6

is reduced by 3.5 dB (approximately 2.2 times) compared with the traditional wavelet method

demonstrating the superior adaptability to low SNR environments.

Conclusion

This method innovatively achieves deep decoupling between the statistical characteristics of noise and the waveform characteristics of the signal

providing an effective approach and solid theoretical foundation for the engineering applications of wide-area laser communication technology in long-distance and complex environments.

关键词

Keywords

references

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