Hi,I trying to do an worst case error estimation in my ADC readings and according to the Datasheet as shown below I’ve other error factors Offset, Full- scale, Absolute Accuracy, DNL, INL.We’re ...Read more
Hi,
I trying to do an worst case error estimation in my ADC readings and according to the Datasheet as shown below I’ve other error factors Offset, Full- scale, Absolute Accuracy, DNL, INL.
We’re trying to mitigate the Offset and Full- scale error by applying a Two-Point Calibration Method.
I would like to know do I need to consider Absolute accuracy as ± 2 even though I’ve compensated Offset and Full-scale error.
Also what about DNL and INL errors do I want to consider both in my calculations and INL is the integral sum of DNL errors.
Also should I consider Typ or Max values what’s the difference between them?
Thank You in Advance
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Hello Jameshleo, Thanks for reaching out to the Volt Tech Community. First, the max values for errors defined on the user's manual are the worst error values measured in the laboratory test environment for the full voltage range, while typical is the most usual error value without compensation. UsinRead more
Hello Jameshleo,
See lessThanks for reaching out to the Volt Tech Community.
First, the max values for errors defined on the user’s manual are the worst error values measured in the laboratory test environment for the full voltage range, while typical is the most usual error value without compensation.
Using software techniques such as Two- a point calibration system you cancel/ compensate offset and full-scale error.
In the case of the Renesas specification, the Absolute Accuracy value is the total uncompensated error for all error terms( INL, DNL, Offset, Gain, and Quantization error terms).
So, you can improve the Absolute Accuracy to be lower than using compensation methods.
Also, find attached the INL meaning:
The INL depends on the internal circuit architecture and from any possible distortion, caused by the front-end signal conditioning circuit.
I hope it helps!
Regards,
Vikas Nagpal