Sensor and Isolator News, 9/16/25
In This Issue
   • Digitizing Magnetometer Sensors
   • Literature Review of Sensor Digitization
   • Tradeshows

 
Digitizing Magnetometer Sensors
 
AA-Series Sensor NVE's groundbreaking AA-Series GMR magnetometer sensors remain popular because of their low noise and unmatched temperature stability. The one downside is their lower output signal compared to TMR sensors, but that can be accommodated with preamplifiers or high-resolution ADCs (the paper referenced below summarizes the literature on digitizing NVE sensors).
 
Microcontrollers With Preamps
Many low-cost microcontrollers have integrated differential preamps, which can be a good way to extend the effective resolution for a GMR sensor. This video demonstrates an AA002-02E sensor breakout board interfaced directly to an Arduino Leonardo, with 10x and 40x preamplification:
 
Magnetometer Digitization with Arduinos
 
Here's a summary of Arduino boards commonly used to digitize GMR sensors. The last column gives the effective resolution for a typical 60 mV/V GMR sensor using the integrated MCU ADC and no external components:
 
 Arduino Board      Processor      ADC Preamp Effective
Resolution
 (for 60 mV/V) 
Arduino Uno ATmega328P  10 bits 
None 5.9 bits
Arduino Due ARM Cortex-M3 12 bits None 7.9 bits
  Arduino Leonardo/Micro   ATmega32U4 10 bits  10x/40x/200x  9.3 bits*
*AAxxx sensor; 60 mV/V; 10x preamp
SM125
Smart Sensors With Built-In Digital Cores
In addition to bridge-sensor elements, we offer smart sensors with built-in digital cores such as the SM125-10E. These parts provide linearization, temperature compensation, and I2C or SPI interfaces. Twelve-bit and 24-bits versions are also available.
 
 
Papers Involving NVE


PapersDigital Interface for Short-Span Resistive Sensors Using SAR Technology
2025 IEEE Applied Sensing Conference (APSCON), published Sept. 4, 2025.
 
 
Summary:
An NVE AA005-02 GMR analog sensor was digitized with an Arduino and a DAC. The Arduino implements a successive approximation algorithm:
 
Figure 5  
 
The authors also summarize digitization techniques for NVE sensors in the literature:
 
Table 3
 
Excerpt:
"[This work's] digitizer's output was linear with respect to the changing magnetic field, with a maximum non-linearity error of 1.1%."
 
More Arduino Applications:
A YouTube Playlist demonstrates dozens of applications using Arduinos with NVE products, including various digitization techniques.
 
More Independent Papers
NVE's Independent Papers page contains links to numerous peer-reviewed publications using NVE products.
 

Tradeshows

SENSOR CHINANVE distributor Angst+Pfister Sensors and Power will exhibit at SENSOR CHINA Sept. 24 to 26 in Shanghai; Booth B001.
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