A Novel Noise Analysis Method for Frequency Transfer System by Using ADEV Combine with EMD-WT

TL;DR

This paper introduces a new analytical framework combining Allan deviation with wavelet transformed empirical mode decomposition to improve noise characterization in frequency transfer systems, providing detailed time-frequency insights.

Contribution

The novel integration of ADEV with EMD-WT offers a dual-domain resolution method for more comprehensive noise analysis in frequency transfer systems.

Findings

Enhanced noise discrimination in frequency transfer systems.

Simultaneous time-frequency domain analysis achieved.

Improved evaluation of system stability and noise types.

Abstract

In precision frequency transfer systems, stringent requirements are imposed on the phase stability of transmitted signals. Throughout the transmission process, the inherent challenges of long-haul signal propagation inevitably introduce multiple noise components, including but not limited to thermal noise, phase fluctuations, and environmental interference. The system incline to use the conventional evaluation index - Allan deviation (ADEV) to reflect the system stability in order to evaluate the noise level. Whereas, ADEV can only provide numerical expression and lacks the time-frequency details. Therefore, a complete evaluation system is required by the system. In this paper, we present a groundbreaking integration of ADEV and wavelet transformed empirical mode decomposition (EMD-WT), establishing a novel analytical framework that enables simultaneous characterization of noise types and time-frequency domain properties. This synergistic approach achieves unprecedented dual-domain resolution in noise discrimination in frequency transfer systems.