ADC-based SerDes with sub-sampled ADC for eye monitoring

1. Digital serializer/deserializer circuitry comprising:

a data path including:

a first analog-to-digital converter configured to sample an incoming data waveform at a first sample rate,

first digital filter circuitry configured to filter output of the first analog-to-digital converter, and

a first output data slicer coupled to output of the first digital filter circuitry and configured to output data above a threshold;

a data eye monitoring path including:

a second analog-to-digital converter configured to sample the incoming data waveform at a second sample rate lower than the first sample rate, the second analog-to-digital converter further being configured to take samples at varying sampling points along the incoming data waveform,

second digital filter circuitry configured to filter output of the second analog-to-digital converter, and

a second output data slicer coupled to an output of the second digital filter circuitry, the second output data slicer being configured to output data above an adjustable threshold and to sweep through varying threshold values for different samples; and

error rate circuitry configured to compare outputs of the first output data slicer and the second output data slicer to determine a data eye error rate.

2. The digital serializer/deserializer circuitry of claim 1 wherein:

the first analog-to-digital converter is configured to sample the incoming data waveform at a first point in time;

the second analog-to-digital converter is configured to sample the incoming data waveform at a second point in time, among the varying sampling points, that is different from the first point in time;

the second digital filter circuitry includes a channel estimation filter configured to determine a change in channel response between the first point in time and the second point in time; and

the second digital filter circuitry includes an additional filter having filter characteristics of the first filter circuitry and configured to filter the change in channel response.

3. The digital serializer/deserializer circuitry of claim 2 wherein the channel estimation filter is an adaptive filter.

4. The digital serializer/deserializer circuitry of claim 3 wherein the adaptive filter is a least-mean squares filter.

5. The digital serializer/deserializer circuitry of claim 2 wherein the second digital filter circuitry further comprises:

comparator circuitry configured to compare output of the channel estimation filter to output of the second analog-to-digital converter to determine signal noise; and

circuitry configured to combine the signal noise with output of the additional filter for input to the second output data slicer.

6. The digital serializer/deserializer circuitry of claim 5 wherein the channel estimation filter is further configured to input the signal noise as an error for adaptation.

7. The digital serializer/deserializer circuitry of claim 5 wherein the circuitry configured to combine the signal noise with output of the additional filter is configured to apply a weight to the signal noise.

8. The digital serializer/deserializer circuitry of claim 2 further comprising delay circuitry for combining the output of the first digital filter circuitry with the output of the second digital filter circuitry for input to the second output data slicer.

9. The digital serializer/deserializer circuitry of claim 1 wherein:

the first analog-to-digital converter is configured to sample the incoming data waveform at a first point in time;

the second analog-to-digital converter is configured to sample the incoming data waveform at a second point in time, among the varying sampling points, that is different from the first point in time; and

the second digital filter circuitry includes:

a channel estimation filter configured to determine a change in channel response between the first point in time and the second point in time,

convolution circuitry configured to convolve the change in channel response with an output of the first digital filter circuitry to derive filter coefficients, and

an additional filter using the filter coefficients derived by the convolution circuitry.

10. The digital serializer/deserializer circuitry of claim 9 wherein the convolution circuitry comprises a microcontroller unit.

11. The digital serializer/deserializer circuitry of claim 9 further comprising delay circuitry for combining the output of the first digital filter circuitry with the output of the second digital filter circuitry for input to the second output data slicer.

12. A method of data eye monitoring in digital serializer/deserializer circuitry, the method comprising:

sampling an incoming data waveform at a first sample rate;

filtering, using a first filter, the incoming data waveform that is sampled at the first sample rate;

slicing the incoming data waveform, as sampled at the first sample rate, to output data above a first threshold;

sampling the incoming data waveform, at a second sample rate lower than the first sample rate, at a sampling point along the incoming data waveform;

filtering, using a second filter, the incoming data waveform that is sampled at the second sample rate;

slicing the incoming data waveform, as sampled at the second sample rate, to output data above an adjustable threshold; and

comparing outputs of the first slicing and the second slicing to determine a data eye error rate.

13. The method of claim 12 wherein:

the sampling an incoming data waveform at the first sample rate occurs at a first point in time;

the sampling the incoming data waveform, at the second sample rate lower than the first sample rate, is performed at at least one second point in time that is different from the first point in time, at a sampling point that varies along the incoming data waveform; and

the filtering the incoming data waveform that is sampled at the second sample rate comprises estimating to determine a change in channel response between the first point in time and the second point in time, and further filtering the change in channel response.

14. The method of claim 13 wherein the further filtering the change in channel response comprises filtering the change in channel response using a second filter having filter characteristics of the first filter.

15. The method of claim 13 further comprising:

comparing the change in channel response to the incoming data waveform sampled at a second sample rate to determine signal noise; and

combining the signal noise with the further filtered change in channel response prior to the slicing the incoming data waveform to output data above the adjustable threshold.

16. The method of claim 15 wherein the estimating to determine a change in channel response comprises inputting the signal noise as an error for adaptation.

17. The method of claim 15 wherein the combining the signal noise with the further filtered change in channel response, prior to the slicing the incoming data waveform to output data above the adjustable threshold, comprises applying a weight to the signal noise.

18. The method of claim 13 further comprising delaying the incoming data waveform that is sampled at the first sample rate, as filtered using the first filter, and combining the delayed filtered incoming data waveform with the incoming data waveform that is sampled at the second sample rate, as filtered using the second filter, prior to the slicing the incoming data waveform to output data above the adjustable threshold.

19. The method of claim 12 wherein:

the sampling an incoming data waveform at the first sample rate occurs at a first point in time;

the sampling the incoming data waveform, at the second sample rate lower than the first sample rate, is performed at at least one second point in time that is different from the first point in time, at a sampling point that varies along the incoming data waveform; and

the filtering the incoming data waveform that is sampled at the second sample rate comprises:

estimating to determine a change in channel response between the first point in time and the second point in time,

convolving the change in channel response with an output of the first digital filter circuitry to derive filter coefficients, and

filtering the incoming data waveform that is sampled at the second sample rate, using the filter coefficients derived by the convolving.

20. The method of claim 19 further comprising delaying the incoming data waveform that is sampled at the first sample rate, as filtered using the first filter, and combining the delayed filtered incoming data waveform with the incoming data waveform that is sampled at the second sample rate, as filtered using the second filter, prior to the slicing the incoming data waveform to output data above the adjustable threshold.