Datasheet
20
21
22
23
24
25
26
1000 2000 3000 4000 5000 6000 7000
Samples
Amplitude (mV)
1 Average
16 Averages
1024 Averages
G020
AVG #
÷
New
Sample
-
+
+
+
Output
Register
INA3221
SBOS576A –MAY 2012–REVISED JUNE 2013
www.ti.com
INA3221 AVERAGING FUNCTION
The INA3221 includes three channels to monitor up to three independent supply buses. Multichannel monitoring
potentially results in poor shunt resistor placement. Ideally, the shunt resistors should be located as close as
possible to the corresponding channel input pins. However, because of system layout and multiple power-supply
rails, one or more shunt resistors may have to be located further away from the INA3221 than they otherwise
ideally would be, thus presenting potentially larger measurement errors. These errors can result from additional
trace inductance and other parasitic impedances between the shunt resistor and input pins. Longer traces also
create an additional potential for coupling noise into the signal if they are routed near noise-generating sections
of the board. The INA3221 averaging function mitigates this potential problem by limiting the impact any single
measurement has on the averaged value of each measured signal. This limitation reduces the influence noise
has on the averaged value, thereby effectively creating an input signal filter.
The averaging function is described in Figure 21. The INA3221 operation begins by first measuring the shunt
input signal on channel 1. This value is then subtracted from the previous value that was present in the
corresponding data output register. This difference is then divided by the value programmed by the Averaging
Mode setting (Configuration Register bits[11:9]) and stored in an internal accumulation register. The computed
result is then added to the previously-loaded data output register value and that resulting value is loaded to the
corresponding data output register. After the update, the next signal to be measured follows the same process.
The larger the value selected for the averaging mode setting, the less impact or influence any new conversion
has on the average value, as shown in Figure 22. This averaging feature functions as a filter to reduce input
noise from the averaged measurement value.
Figure 21. Averaging Function Block Diagram
Figure 22. Average Setting Example
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