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March 6, 2026Technologies0 citationsOpen Access

Analysis of the Impact of Doppler Frequency Shift on Phase Noise in Space-Borne Gravitational Wave Detection

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ZXZhenbang XieZYZhaoxiang YiHDHuizong Duan

Key Points

  • The aim is to understand how Doppler frequency shifts affect phase noise in space gravitational wave detection.
  • Analyzed Doppler effect principles and built a laser interferometry signal model.
  • Simulated orbits to determine signal frequency ranges.
  • Conducted time- and frequency-domain analyses on the phasemeter.
  • Derived steady-state phase errors theoretically.
  • Constructed a hardware system for experimental verification.
  • Phase noise increases significantly at a 100 Hz/s Doppler shift rate.
  • Higher phasemeter bandwidth correlates with increased low-frequency phase noise.
  • Findings offer insights for optimizing phasemeter parameters.

Abstract

Space gravitational wave detection is performed via a laser interferometry system across hundreds of thousands to millions of kilometers for picometer-level displacement measurement, using phasemeters to read gravitational wave-induced displacement changes. A critical yet unresolved challenge is the coupling of Doppler frequency shift—resulting from relative satellite motion—into the phase measurements, as well as its consequent impact. To address this, we analyzed the Doppler effect principle, built a laser interferometry signal model, and obtained signal frequency ranges via orbit simulation. We then conducted time- and frequency-domain analyses of the phasemeter, theoretically deriving steady-state phase errors to clarify how Doppler shift affects phasemeter noise. A hardware system was constructed for verification, showing that phase noise curves rise significantly at a 100 Hz/s Doppler shift rate, and increasing phasemeter bandwidth increases low-frequency phase noise. This study provides a theoretical and experimental basis for phasemeter parameter optimization and ground experiments of phasemeters in space gravitational wave detection.

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Cite This Study

Xie et al. (2026) studied this question.

synapsesocial.com/papers/69aa70d6531e4c4a9ff5b104https://doi.org/10.3390/technologies14030160
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