| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
MEMSIC |
SENSOR MR I2C 16LGA |
0 |
|
 |
MEMSIC |
30 GAUSS, MONOLITHIC, HIGH PERFO |
16841 |
|
 |
Melexis |
SENSOR HALL ANALOG/PWM 16TSSOP |
0 |
|
 |
Asahi Kasei Microdevices / AKM Semiconductor |
SENSOR HALL EFFECT ANALOG 4SOP |
0 |
|
 |
Texas Instruments |
SENSOR HALL ANALOG SOT23-3 |
490 |
|
 |
Melexis |
SENSOR HALL ANALOG/PWM 8SOIC |
0 |
|
 |
Texas Instruments |
RATIOMETRIC LINEAR HALL EFFECT S |
5055 |
|
 |
Allegro MicroSystems |
PROGRAMMABLE LINEAR |
390 |
|
 |
Texas Instruments |
SENSOR HALL EFFECT ANALOG |
595 |
|
 |
Texas Instruments |
DRV5053-Q1 AUTOMOTIVE, 2.7 V TO |
44924 |
|
 |
Texas Instruments |
RATIOMETRIC LINEAR HALL EFFECT S |
2968 |
|
 |
Allegro MicroSystems |
CUSTOMER PROGRAMMABLE LINEAR HAL |
147857 |
|
 |
Texas Instruments |
DRIVER |
0 |
|
 |
Melexis |
SENSOR HALL EFFECT SPI 16TSSOP |
1038 |
|
 |
Coto Technology |
SENSOR MR ANALOG SOT23-3 |
1891 |
|
 |
Allegro MicroSystems |
SENSOR HALL EFFECT I2C |
5352 |
|
 |
TDK Micronas |
SENSOR HALL EFFECT ANALOG |
1981 |
|
 |
Texas Instruments |
SENSOR HALL ANALOG SOT23-3 |
759 |
|
 |
Melexis |
SENSOR HALL EFFECT SPI 16TSSOP |
0 |
|
 |
Melexis |
SENSR MAGNETOMETER 3DXYZ 16TSSOP |
0 |
|
Magnetic sensors - linear compass ICs are semiconductor devices that detect magnetic fields and convert them into electrical signals. These integrated circuits provide precise measurement of magnetic field direction and strength in linear axes, enabling 2D/3D orientation detection. Their importance spans multiple industries due to their ability to provide contactless position sensing, navigation capabilities, and magnetic field monitoring in compact form factors.
| Type | Functional Features | Application Examples |
|---|---|---|
| Hall Effect Sensors | Voltage output proportional to magnetic field strength, simple design | Current sensing, proximity detection |
| Anisotropic Magnetoresistance (AMR) Sensors | High sensitivity (0.1 accuracy), low power consumption | Electronic compasses, navigation systems |
| Giant Magnetoresistance (GMR) Sensors | Ultra-high sensitivity (nanotesla range), wide bandwidth | Biomedical devices, industrial position control |
| Tunneling Magnetoresistance (TMR) Sensors | Lowest power consumption, excellent thermal stability | IoT devices, automotive safety systems |
Typical construction includes: - Sensing element (Hall plate/AMR film/TMR junction) - Signal conditioning circuitry (amplifiers, ADCs) - Temperature compensation modules - Digital interface (I2C/SPI) Packaged in LGA/QFN formats (2-8mm sizes) with magnetic shielding layers. Advanced versions integrate sensor fusion algorithms for 3-axis measurement.
| Parameter | Description & Importance |
|---|---|
| Sensitivity (mV/Gauss) | Determines minimum detectable field strength |
| Resolution ( T/LSB) | Affects angle measurement precision (critical for navigation) |
| Operating Temperature (-40 to +125 C) | Defines environmental suitability |
| Power Consumption ( A/mA) | Crucial for battery-powered devices |
| Interface Type | I2C/SPI for digital output, analog for raw signals |
Main industries include: - Consumer Electronics: Smartphone compasses, AR/VR headsets - Automotive: EPS systems, vehicle detection - Industrial: Robotics, CNC machine tool positioning - Aerospace: Drone stabilization systems - Medical: Surgical tool tracking
| Manufacturer | Product Series | Key Specifications |
|---|---|---|
| STMicroelectronics | LIS3MDL | 50 Gauss range, 0.08 T/LSB, I2C/SPI |
| Honeywell | HMC5883L | 80 Hz bandwidth, 2-4 Gauss accuracy |
| NXP Semiconductors | MFX7755 | 3D sensing, 0.1 heading accuracy |
| TDK-InvenSense | ICM-20948 | 9-axis MEMS+mag, 0.15 mA operating current |
Key consideration factors: - Required measurement axis (2D vs 3D) - Environmental conditions (temperature, vibration) - Power budget constraints - Required accuracy vs cost trade-offs - Interface compatibility with host system - Calibration requirements (hard/soft iron compensation)
Current development directions: - Integration with MEMS IMUs for sensor fusion - AI-based self-calibration algorithms - Sub-10 A ultra-low power consumption - Increased radiation hardness for space applications - Development of 4D magnetic field-time sensors