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H28 Datasheet, PDF (1/11 Pages) –
DESCRIPTION
H28
Verson 1.5
16-Bit Analog-to-Digital Converter
‹ Standby Current Consumption 0.1 µA
‹ Low Supply Current
‹ Low Power Consumption
‹ Resolution 16 Bits
‹ ENOB 14 Bits
‹ Serial Data Output (I2C bus)
The H28 is a 16 bit Analog-to-Digital Converter
(ADC), which employs a delta-sigma conversion
technique. With the linear input signal range of 324
mVPP ,,its resolution is 14 bits.
The H28 is designed especially to meet the
requirement for low power consumption, thus
making it an ideal choice for battery powered
systems. The H28 is equipped with a standby
function, i.e. the ADC is in power down between
each conversion. By utilizing this and overall low
power consumption, current consumption values of
1.2 µA or less can be achieved (one conversion in a
second; fast mode conversion time 16 ms).
The H28 has an on-chip second order
decimator filter to process the output of the second
order modulator. The ADC also has two selectable
conversion ranges with two optional offset levels.
A bi-directional 2-wire I2C bus is used for
configuring conversion parameters,
starting
conversion and reading out the A/D conversion
result.
H28 has one input channel suitable for
piezo-resistive pressure sensor. In addition to
pressure measurement configuration the device can
be configured to temperature measurement.
FEATURES
z Low Standby Current Consumption 0.1 µA
z Low Supply Current: 0.2 µA…..1.6 µA
z Supply Voltage: 2.0 V…5.0 V
z Ratiometric Conversion
z Two Input Signal Ranges (VDD=2.35V):
405 mVP P , 105 mVPP
z Two Optional Offsets (VDD=2.35V):
25 mV, 33 mV
z Over Sampling Ratio: 512, 256, 128, 64
z Conversion Times 32.2 ms…2.5 ms
z In Fast Mode: Over Sampling Ratio 64,
Conversion Time=2.5 ms, Resolution=10 Bits
z Good Noise Performance due to (Δ~Σ)
Architecture
z 2-Wire I2C Interface
APPLICATIONS
z Battery Powered Systems
z Low Frequency Measurement Applications
z Pressure and Temperature Measurement
z Current/Power Consumption Critical Systems
z Industrial and Process Control Applications in
Noisy Environments