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KXTH5-4325
Tri-Axis, 1.5g - 6g, Multiplexed Analog, 3x5x0.9mm LGA - KXTH5-4325

The KXTH5 is an ultra-low noise, low-power, analog tri-axis accelerometer with an integrated 4-channel multiplexer and factory-programmable low-pass filter. With a factory-programmable g-range of ±1.5g to ±6g, the KXTH5 operates from 1.8 V to 3.6 V DC supply and is delivered in a 3 x 5 x 0.9 mm, 14-pin, LGA package with an operating temperature range of -40°C to +85°C.

Obsolete

FEATURES:

  • Integrated 4-channel multiplexer with 4µs settling time
  • Sampling rate of 34kHz per axis
  • Factory-programmable, internal low-pass filter
  • Low current consumption: 5 µA in standby and 350 µA at full power
  • Supply voltage range: 1.8 V to 3.6 V
  • Factory-programmable ±1.5g to ±6g range
  • Multiplexed analog output
  • Embedded features
  • Motion detection
  • Self-test function
  • RoHS compliant

Highlights

  • Internal Low-pass Filter
  • Auxiliary Input to Multiplexer or ADC

Product Specifications

Axis G Range Sensitivity Noise (µg/√Hz) Resolution Package Size Pins Package Type Interface Output Wakeup Operating Temperature (Min.)[°C] Operating Temperature (Max.)[°C] Supply Voltage [V] Current Consumption
3 2.75g 364, (mV/g) 150 - 3x5x0.9mm 14-pin LGA Multiplexed Analog No -40 85 3 150-550 μA

EVALUATION BOARDS

PART NUMBER BUY NOW DESCRIPTION DOCUMENTATION
EVAL-KXTH5-4325 Cart KXTH5-4325 Evaluation Board

Developer Tools

Buy Now Description
IoT Evaluation and Development Kit Cart 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.