维纳滤波信号传输畸变补偿方法性能影响因素分析

高原; 秦风; 肖天; 陈超婵

doi:10.11884/HPLPB202537.250028

维纳滤波信号传输畸变补偿方法性能影响因素分析

doi: 10.11884/HPLPB202537.250028

高原^{1, 2, 3,},
秦风^{1, 2, 3, ,},
肖天^{1, 2, 3},
陈超婵⁴

1.
中国工程物理研究院应用电子学研究所，四川绵阳 621999
2.
先进激光与高功率微波全国重点实验室，四川绵阳 621999
3.
中国工程物理研究院复杂电磁环境科学与技术重点实验室，四川绵阳 621999
4.
上海市计量测试技术研究院，上海 200233

基金项目: 上海市“科技创新行动计划”技术标准项目（23DZ2201000）；国家级青年人才项目；四川省青年科技人才项目支持

详细信息

作者简介:
高　原，18142550916@163.com

通讯作者:
秦　风，fq_soul2000@163.com。

中图分类号: TM937
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- 被引次数: 0
出版历程
- 收稿日期: 2025-02-18
- 修回日期: 2025-04-13
- 录用日期: 2025-04-13
- 网络出版日期: 2025-04-23

Effects of parameters on signal compensation performance in signal compensation method based on Wiener filtering

Gao Yuan^{1, 2, 3
,},
Qin Feng^{1, 2, 3
, ,},
Xiao Tian^{1, 2, 3},
Chen Chaochan⁴

1.
Institute of Applied Electronics, China Academy of Engineering Physics, Mianyang 621999, China
2.
National Key Laboratory of Science and Technology on Advanced Laser and High Power Microwave, Mianyang 621999, China
3.
Key Laboratory of Science and Technology on Complex Electromagnetic Environment, China Academy of Engineering Physics, Mianyang 621999, China
4.
Shanghai Institute of Measurement and Testing Technology, Shanghai 200233, China

摘要

摘要: 研究表明，基于维纳滤波的信号同轴电缆传输畸变补偿方法对于多种不同类型的脉冲信号均表现出优异的补偿性能和补偿效率，可以有效解决脉冲信号同轴电缆传输畸变问题，具有很好的应用价值。但是，目前尚未对影响该方法补偿效果的因素进行分析，也未明确其最佳应用条件或参数设置。本文深入分析了影响基于维纳滤波信号传输畸变补偿方法补偿性能的因素，确定主要影响因素为输出信号信噪比SNR、同轴电缆S₂₁曲线测量步长Δf以及功率谱估计方法。针对上述影响因素开展了同轴电缆信号传输畸变补偿试验，结果表明：当SNR小于25 dB时，SNR越低，补偿方法补偿性能越差，而当SNR大于25 dB时，随着SNR的增大，补偿性能趋于稳定不变；对于S₂₁参数测量频率步长Δf，当Δf较小时，补偿性能几乎保持不变，当Δf较大时，随着Δf的增大时，补偿精度缓慢降低；而对于功率谱估计方法，常用的三种功率谱估计方法（周期图法、Welch法和Burg法）中，Burg法补偿性能最佳。研究结果可为维纳滤波实际应用提供指导。
- 强电磁脉冲环境测试 /
- 维纳滤波 /
- 信号畸变补偿 /
- 影响因素分析
Abstract: The signal compensation method based on Wiener filtering has been demonstrated to have excellent compensation performance towards the signal distortion induced by the long-distance transmission in coaxial cable. However, how the parameters of this compensation method affect the compensation performance has not yet been investigated and analyzed, which may in turn bring some obstacles in the practical utilization of this modified method. Herein, we carried out a systematic study on the effect of the parameters on the signal compensation performance of this modified method. The results show that: for the signal-to-noise ratio (SNR), When the SNR is less than 25 dB, the compensation performance is continuously improved as the SNR increases. Once the SNR attains～25 dB, the relative error (δ) in between the compensated signal and input signal nearly keeps unchanged. For the sampling frequency interval Δf in S₂₁ parameter measurement, the compensation performance keeps unchanged when Δf is small, and the compensation performance slowly deteriorates as Δf exceeds a certain value. As for the power estimation method, it is proved that among the traditional power estimation methods, the Burg method can obtain better compensation performance. This study can provide a beneficial reference for the application of the signal compensation method based on Wiener filtering.
- high-intensity electromagnetic pulse environmental testing /
- Wiener filtering /
- signal distortion compensation /
- factor analysis

HTML全文

图 1 维纳滤波方法原理框图

Figure 1. Schematic diagram of Wiener filtering method

下载: 全尺寸图片幻灯片

图 2 基于维纳滤波的信号补偿方法流程

Figure 2. Solution flow of the signal compensation method of coaxial cable Based on Wiener filtering method

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图 3 实验布置图

Figure 3. Experimental setup

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图 4 同轴电缆输入与输出信号的波形对比

Figure 4. Comparison of input and output signal waveforms in coaxial cables

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图 5 输出信号信噪比SNR对补偿性能的影响

Figure 5. Effect of the SNR of output signal on the compensation performance

下载: 全尺寸图片幻灯片

图 6 频率测量间隔Δf对补偿性能的影响

Figure 6. Effect of Δf of S₂₁ parameters on the compensation performance

下载: 全尺寸图片幻灯片

表 1 三种功率谱估计方法对补偿性能的影响

Table 1. Effect of the of output signal on the compensation performance

method	double exponential pulse signal/%	rectangular modulated pulse signal/%	Gaussian modulated pulse signal/%
Periodogram Method	5.5	8.2	9.1
Welch's Method	4.9	7.1	8.4
Burg's Method	4.2	6.2	6.9

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