Related Experiment Video
Updated: Apr 15, 2026
09:36
Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
Published on: June 25, 2021
3.6K
Amplitude Analysis of High-Rate GNSS Measurements in the Frequency Domain
Caroline Schönberger1, Werner Lienhart1
1Institute of Engineering Geodesy and Measurement Systems, Graz University of Technology, Steyrergasse 30, 8010 Graz, Austria.
Sensors (Basel, Switzerland)
|April 14, 2026
Summary
High-rate Global Navigation Satellite System (GNSS) data can detect structural vibrations but has amplitude errors. A new correction method improves accuracy for structural health monitoring applications.
Area of Science:
- Civil Engineering
- Geodesy
- Signal Processing
Background:
- Structural Health Monitoring (SHM) is crucial for civil infrastructure safety.
- Vibration monitoring derives eigenfrequencies, mode shapes, and damping for SHM.
- Accurate amplitude determination is vital for calculating amplitude-dependent damping ratios.
Purpose of the Study:
- To assess the amplitude correctness of high-rate Global Navigation Satellite System (GNSS) receiver data for SHM.
- To investigate systematic errors in vibration amplitudes derived from GNSS measurements.
- To develop a correction method for improving GNSS-based vibration amplitude accuracy.
Main Methods:
- Controlled oscillation experiments using a shaker and Laser Triangulation Sensor (LTS) as reference.
- Analysis of GNSS-derived vibration amplitudes using time-frequency techniques (STFT, WT).
- Comparison of GNSS amplitudes with independent reference measurements.
Main Results:
- Millimeter-range vibrations can be detected using GNSS data from satellites at 20,000 km altitude.
- Systematic amplitude errors up to 60% were observed in GNSS-derived frequencies compared to reference data.
- A frequency-dependent correction function was developed to reduce these errors.
Conclusions:
- High-rate GNSS data shows potential for SHM but requires amplitude correction.
- The proposed correction method significantly reduces systematic errors in GNSS-based vibration amplitude measurements.
- This advancement enhances the reliability of GNSS for precise structural health monitoring.
More Related Videos
Related Concept Videos
01:18Aliasing
842
Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original...
842
01:17Bandpass Sampling
640
In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
A bandpass signal has a spectrum with a lower frequency limit, denoted as ω1, and an upper frequency limit, denoted as ω2....
640
01:20Graphical and Analytic Representation of Sinusoids
1.2K
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
1.2K
01:15Discrete Fourier Transform
1.2K
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
1.2K
01:26Linear Approximation in Frequency Domain
452
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
452
01:17NMR Spectrometers: Radiofrequency Pulses and Pulse Sequences
2.1K
A pulse is a short burst of radio waves distributed over a range of frequencies that simultaneously excites all the nuclei in the sample. Upon passing a radio frequency pulse along the x-axis, the nuclei absorb energy corresponding to their Larmor frequencies and achieve resonance. This shifts the net magnetization vector from the z-axis toward the transverse plane. This angle of rotation of the magnetization vector, or the flip angle, is proportional to the duration and intensity of the pulse.
2.1K