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

Gao Yuan; Qin Feng; Xiao Tian; Chen Chaochan

doi:10.11884/HPLPB202537.250028

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Gao Yuan, Qin Feng, Xiao Tian, et al. Effects of parameters on signal compensation performance in signal compensation method based on Wiener filtering[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202537.250028

Citation:

Gao Yuan, Qin Feng, Xiao Tian, et al. Effects of parameters on signal compensation performance in signal compensation method based on Wiener filtering[J]. High Power Laser and Particle Beams. doi: 10.11884/HPLPB202537.250028

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

doi: 10.11884/HPLPB202537.250028

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

Received Date: 2025-02-18
Accepted Date: 2025-04-13
Rev Recd Date: 2025-04-13

Available Online: 2025-04-23

Abstract

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

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References(16)

References

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