Kionix Productdetail
KX220-1071
Tri-Axis, ±20g, 3.3V, Analog, 3x3x0.9mm LGA - KX220-1071
The KX220 is a medium-g, high-performance, tri-axis accelerometer with analog outputs, a factory-programmable low-pass filter, signal bandwidth (-3dB) up to 8kHz, and g-range from ±4g to ±40g. The KX220 operates from a 1.8 V to 3.6 V DC supply and comes in a 3 x 3 x 0.9 mm, 10-pin, LGA package with an operating temperature range of -40°C to +85°C.
Highlights
- Medium-g range
- Wide signal bandwidth
- High performance analog device
- Good Temperature Performance
Product Specifications
| Axis | G Range | Sensitivity | Noise (µg/√Hz) | Resolution | Package Size | Pins | Package Type | Interface Output | Wakeup | Operating Temperature (Min.)[℃] | Operating Temperature (Max.)[℃] | Supply Voltage [V] | Current Consumption |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3 | 20g | 66 (mV/g) | 675 | - | 3x3x0.9mm | 10-pin | LGA | Analog | No | -40 | 85 | 3.3 | 170-310 μA |
EVALUATION BOARDS
| PART NUMBER | BUY NOW | DESCRIPTION | DOCUMENTATION |
|---|---|---|---|
| EVAL-KX220-1071 |  |
KX220-1071 Evaluation Board (Legacy) |
KAMMDM001R41 Schematic (KXTC9, KX220) (Legacy) KAMMDM001R41 Board Layout (KXTC9, KX220) (Legacy) |
| KX220-1071-EVB100 | |
RoKiX Analog Evaluation Board |
KMAEDA002R00 Schematic (RoKiX Analog Evaluation Board) KMAEDA002R00 Board Layout (RoKiX Analog Evaluation Board) |
Developer Tools
| Buy Now | Description | |
|---|---|---|
| IoT Evaluation and Development Kit | |
Kionix's IoT evaluation kit utilizes hardware platform based on Nordic Semiconductor's Bluetooth LE SoC. The compact (27/32mm x 4.2mm), highly integrated modular sensor system integrates Kionix's accelerometer (KX122-1037), combo accel-mag (KMX62-1031), and combo accel-gyro (KXG07) sensors along with ROHM's barometric pressure sensor (BM1383AGLV). Additional sensors can be evaluated using the add-on board that can fit inside the kit. This enables measurement of 3D acceleration, 3D magnetism, 3D rotation, air pressure, and temperature, making it ideal for training, prototyping, and initial set development of IoT and wearable applications. |
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