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Published on: June 9, 2016
An integrated CMOS micro search‑coil magnetometer with on‑chip calibration and a low‑noise amplifier
Hadi Tavakkoli1,2, Moaaz Ahmed3, Ikramullah Shah3
1Department of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology, Hong Kong SAR, China.
This study introduces a highly efficient CMOS-integrated micro search-coil magnetometer (µSCM) with a 2.1 nT/√Hz noise level at 1 kHz, consuming only 364 µW. This breakthrough offers a tenfold improvement for precision magnetic field sensing applications.
Area of Science:
- Integrated circuit design
- Magnetic field sensing technologies
- Low-power electronics
Background:
- Traditional search-coil magnetometers (SCMs) face limitations in power consumption and integration.
- Existing CMOS SCMs require further optimization for noise performance and energy efficiency.
Purpose of the Study:
- To develop a fully CMOS-integrated micro search-coil magnetometer (µSCM) with enhanced performance.
- To achieve a significant reduction in noise equivalent magnetic induction (NEMI) and power consumption.
- To optimize the µSCM for a wide frequency range (1 Hz to 1 kHz).
Main Methods:
- Implementation in a standard TSMC 180 nm CMOS process utilizing an Integrated-within-Aperture layout.
- Integration of a low-noise instrumentation amplifier (INA) with a nested-chopped current-feedback architecture.
- Application of a theoretical framework to optimize inductor geometry (line width wc, inner diameter Dic) for minimal NEMI.
Main Results:
- Achieved a noise equivalent magnetic induction (NEMI) of 2.1 nT/√Hz at 1 kHz.
- Demonstrated ultra-low power consumption of 364 µW, a tenfold improvement over prior CMOS SCMs.
- Reduced input-referred noise of the integrated INA from 73.45 nV/√Hz to 36.92 nV/√Hz at 100 Hz.
Conclusions:
- The developed µSCM represents a significant advancement in integrated magnetic sensing.
- Its compact size, high efficiency, and low noise make it suitable for demanding applications.
- Potential applications include biomedical diagnostics, environmental monitoring, and energy-efficient systems.
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