研究目的
Imitational modeling and the development of a synchronous measuring detector with increased noise immunity and precision for the operation of the sensors to measure the magnetic field and temperature.
研究成果
The research successfully developed a synchronous measuring detector that can accurately measure output voltages of Hall and thermal sensors with at least 1% precision by using harmonic current excitation and in-phase detection with filtering. It addresses noise issues, particularly thermal and flicker noise, and provides a stable measurement method. Future work should involve experimental validation and application in real-world scenarios such as thermonuclear reactors.
研究不足
The study is based on simulation modeling rather than physical experiments, which may not fully capture real-world noise and sensor behaviors. The proposed detector's performance is theoretical and requires empirical validation. Limitations include the assumption of specific noise models and the focus on a narrow frequency range (above 10 kHz for flicker noise reduction). Potential optimizations could involve testing with actual sensors and varying environmental conditions.
1：Experimental Design and Method Selection:
The study involved imitational modeling using a simulation model developed in the MatLab environment to analyze the synchronous measuring detector. The methodology included theoretical models for noise analysis (e.g., thermal and flicker noise equations) and signal processing techniques such as harmonic current excitation and in-phase detection with narrowband low-pass filtering.
2：Sample Selection and Data Sources:
The research focused on Hall sensors (specifically metal film sensors with a thickness of 70 nm, sensitivity of about 0.001 V·A-1·T-1, resistance of 1 to 2 Ω) and thermal sensors (wire and semiconductor types). Data were generated through simulation rather than empirical measurements.
3：001 V·A-1·T-1, resistance of 1 to 2 Ω) and thermal sensors (wire and semiconductor types). Data were generated through simulation rather than empirical measurements.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The simulation utilized software tools (MatLab) and a proposed hardware setup including an excitation signal generator, current source, synchronization device, amplifier, mixer, DC amplifier with low-pass filter, and analog-to-digital converter. A software-driven generator based on PSoC 4 was also mentioned.
4：Experimental Procedures and Operational Workflow:
The process involved simulating the sensor output signal under noise conditions, applying harmonic current excitation at 10 kHz, filtering signals using bandpass and low-pass filters, and analyzing the results through signal multiplication and averaging to extract the information signal.
5：Data Analysis Methods:
Data were analyzed using simulation outputs in MatLab, focusing on signal-to-noise ratio, error measurement (absolute error of 0.9 nV), and comparison of different excitation signal forms (meander, saw-shaped, harmonic, triangular).
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