A novel modem model insensitive to the effect of the modulated carrier and the demodulated-signal phase adapted for capacitive sensors

Li, Ke; Chen, Decong; Li, Duo; Wang, Chengrui; Yang, Xiaotian; Hu, Ming; Bai, Yanzheng; Qu, Shaobo; Zhou, Zebing

doi:10.1016/j.measurement.2023.112734

Cited by 3 publications

(5 citation statements)

References 19 publications

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“…To this end, we have utilized the model to evaluate and enhance the circuit topology, component selection, and control timing within the Stabilized Injection Bias Generation System. The noise's PSD value of the stabilized injection As demonstrated in Figure 7, the test results align with the theoretical analysis using Equation (17), demonstrating that the PSD synthesized by the model is consistent with the average PSD obtained between 0.1 Hz and 1.1 Hz. However, notable fluctuations occur in the average PSD within the low-frequency range, primarily due to the influence of external factors on 1/f noise.…”

Section: Noise Analysissupporting

confidence: 77%

“…To corroborate the theoretical predictions with empirical data, we synthesized the amplitude noise, phase noise, frequency noise, and broadband noise frequencies of 5 mHz and 0.1 Hz using Equation (17). The PSD of the synthetic noise, as modeled, is also presented in Table 5.…”

Section: Noise Analysismentioning

confidence: 82%

“…In the non-ideal case, the equivalent displacement output introduces noise ∼ V S , which depends on the amplitude V S of the carrier, the phase difference ∆θ, and the angular frequency difference ∆ω between the carrier and the local oscillator signal. Thus, Equation ( 6) can be expanded to Equation (17).…”

Section: Total Noisementioning

confidence: 99%

“…Dolesi et al discussed the current design and noise model for the European gravity sensor (GS) in the LISA Technology Package (LTP), featuring a capacitive gap-sensing system with a resolution of

, a 10 µm bias, and a

stability of the stabilized injection bias [ 13 ]. In order to achieve a resolution of

in the frequency band of 5 mHz to 0.1 Hz, the sinusoidal carrier signal employed in the high-precision displacement detection circuit should produce as little residual noise as possible [ 9 , 14 , 15 , 16 , 17 , 18 ]. In the scope of this research, the stabilized injection bias utilizes a sinusoidal carrier waveform, which aligns fundamentally with the waveform presented in prior scholarly publications.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Influence of the Injection Bias on the Capacitive Sensing of the Test Mass Motion of Satellite Gravity Gradiometers

Xu,

Lei,

et al. 2024

Sensors

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The performance of the capacitive gap-sensing system plays a critical role in a satellite-based gravity gradiometer that is developed using an electrostatic accelerometer. The capacitive sensing gain mainly depends on the stabilized injection bias amplitude, the gain of the transformer bridge, and the trans-impedance amplifier. Previous studies have indicated that amplitude noise is the main factor influencing the noise of capacitive displacement detection. Analyzing the capacitive gap-sensing system indicates that the amplitude, frequency, phase, and broadband noises of the stabilized injection bias have varying levels of influence on the performance of the detection system. This paper establishes a model to clarify the mentioned effects. The validation of the sub-tests demonstrates that the analysis and evaluation results of various noise coefficients are highly consistent with the model’s predicted outcomes.

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Section: Noise Analysissupporting

confidence: 77%

Section: Noise Analysismentioning

confidence: 82%

Section: Total Noisementioning

confidence: 99%

, a 10 µm bias, and a

stability of the stabilized injection bias [ 13 ]. In order to achieve a resolution of

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Influence of the Injection Bias on the Capacitive Sensing of the Test Mass Motion of Satellite Gravity Gradiometers

Xu,

Lei,

et al. 2024

Sensors

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show abstract

“…However, the phase difference between the AC induction signal and the demodulation switch signal directly affects the performance of the demodulator. A slight phase difference can lead to some noise not being eliminated, thereby reducing the capacitance resolution of the capacitive sensing circuit [8,9]. Meanwhile, the TM is Sensors 2023, 23, 9144 2 of 15 in a suspended state, causing dynamic changes in the position information read by the capacitive sensor.…”

Section: Introductionmentioning

confidence: 99%

Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments

Xue,

Yu,

Sui

et al. 2023

Sensors

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In the space gravitational wave detection mission, inertial sensors play the role of providing an inertial reference for the laser interferometric measurement system. Among them, the capacitance sensor serves as the core key technology of the inertial sensor, used to measure the relative position of the test mass (TM) in the electrode cage. The capacitance sensor utilizes synchronous demodulation technology to extract signals from the AC induction signal. When the phase of the demodulation switch signal is aligned, the synchronous demodulator can most effectively filter out noise, thus directly influencing the performance of the capacitance sensor. However, since the TM is in a suspended state, the information read by the capacitance sensor is dynamic, which increases the difficulty of demodulation phase alignment. In light of this, a method is proposed for achieving the phase alignment of the demodulation switch signal in a dynamic environment. This is accomplished by adjusting the phase of the demodulation switch signal, and subsequently computing the phase difference between the AC induction signal and the demodulation switch signal. At the same time, a measurement and evaluation method for phase deviation is also proposed. Ultimately, an automatic phase alignment system for the demodulation switch signal in dynamic environments is successfully implemented on an FPGA platform, and tests are conducted on a hexapod PI console platform to simulate dynamic environments. The experimental results demonstrate that the system accurately achieves phase alignment in the static environment, with a phase deviation of 0.1394 rad. In the simulated dynamic environment, the phase deviation is 0.1395 rad.

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A High-Precision, Low-Power Signal Demodulation System of Charge-Based Sensor Based on the Fusion of FPGA and AFE Circuits and Its Application in the Detection of Piezoelectric Accelerometers

Li,

Shi,

Wang

et al. 2024

IEEE Trans. Instrum. Meas.

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A novel modem model insensitive to the effect of the modulated carrier and the demodulated-signal phase adapted for capacitive sensors

Cited by 3 publications

References 19 publications

Influence of the Injection Bias on the Capacitive Sensing of the Test Mass Motion of Satellite Gravity Gradiometers

Influence of the Injection Bias on the Capacitive Sensing of the Test Mass Motion of Satellite Gravity Gradiometers

Research and Implementation of a Demodulation Switch Signal Phase Alignment System in Dynamic Environments

A High-Precision, Low-Power Signal Demodulation System of Charge-Based Sensor Based on the Fusion of FPGA and AFE Circuits and Its Application in the Detection of Piezoelectric Accelerometers

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