吉林大学学报(工学版) ›› 2024, Vol. 54 ›› Issue (11): 3399-3405.doi: 10.13229/j.cnki.jdxbgxb.20231304

• 通信与控制工程 • 上一篇    

深空通信网络码间干扰多尺度时序抑制算法

蒙倩颜(),闫立誉(),覃琴,张钰   

  1. 桂林电子科技大学 电子信息学院，北海 536000
  • 收稿日期:2023-11-27 出版日期:2024-11-01 发布日期:2025-04-24
  • 通讯作者: 闫立誉 E-mail:mmmqy963@126.com;yanliyu_jsj@163.com
  • 作者简介:蒙倩颜（1988-），女，高级工程师.研究方向：信息与通信工程，数字图像处理，模式识别及算法.E-mail：mmmqy963@126.com
  • 基金资助:
    电子信息学院《通信系统课程群》建设项目(JGKJ202340);广西创新驱动发展专项项目(AA19254016);广西大数据发展局项目(桂数发［2022］20)

Multi-scale temporal suppression algorithm for inter code interference in deep space communication networks

Qian-yan MENG(),Li-yu YAN(),Qin QIN,Yu ZHANG   

  1. Academy of Electronic Information，Guilin University of Electronic Technology，Beihai 536000，China
  • Received:2023-11-27 Online:2024-11-01 Published:2025-04-24
  • Contact: Li-yu YAN E-mail:mmmqy963@126.com;yanliyu_jsj@163.com

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摘要：

为优化深空通信质量，提出了深空通信网络码间干扰多尺度时序抑制算法。首先，根据深空通信结构，明确了深空通信过程中，通信信号在通信信道中的传输模式，进而建立了深空通信网络信道模型。利用FFT算法对深空通信网络信道内的通信信号展开多尺度分析，并将传输信号从时域变换至频域；引入门限值算法，通过信号频域内幅值的遍历，实现码间干扰频点的判定。结合盲均衡算法与最小均方算法，构建盲均衡器，通过对通信信号自身序列的均衡处理，实现深空通信网络的的码间干扰多尺度时序抑制。实验表明：本文方法能在保证接收端信号接收质量的同时，减少深空通信网络的码间干扰，为深空通信数据的有效传输提供重要保障。

关键词: FFT算法, 门限值算法, 盲均衡算法, 最小均方算法, 盲均衡器

Abstract:

In order to optimize the quality of deep space communication， a multi-scale temporal suppression algorithm for inter code interference in deep space communication networks is proposed. The proposed method first clarifies the transmission mode of communication signals in the communication channel during the deep space communication process based on the deep space communication structure， and then establishes a deep space communication network channel model. Utilize FFT algorithm to conduct multi-scale analysis of communication signals in deep space communication network channels， and transform the transmission signals from time domain to frequency domain； Introducing a threshold algorithm to determine the frequency of inter symbol interference by traversing the amplitude of the signal in the frequency domain. Combining blind equalization algorithm with minimum mean square algorithm， a blind equalizer is constructed to achieve multi-scale temporal suppression of inter symbol interference in deep space communication networks by balancing the communication signal's own sequence. The experiment shows that the proposed method can ensure the quality of signal reception at the receiving end while reducing inter symbol interference in deep space communication networks， providing an important guarantee for the effective transmission of deep space communication data.

Key words: FFT algorithm, threshold value algorithm, blind equalization algorithm, minimum mean square algorithm, blind equalizer

中图分类号: 

  • TN929

图1

深空网络通信结构"

图2

盲均衡基带模型"

图3

码间干扰抑制效果对比"

图4

信号有效传输对比"

表1

误码率变化情况"

通信信噪比/dB误码率/%
本文方法文献［2］方法文献［3］方法
23×10-17×10-15×10-1
46×10-28×10-29×10-2
65×10-35×10-27×10-3
83×10-47×10-36×10-3
102×10-53×10-38×10-4
127×10-69×10-44×10-4
144×10-76×10-49×10-5
165×10-88×10-52×10-5
181×10-85×10-55×10-6
205×10-99×10-67×10-7
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