Improvement of Accuracy in Pipelined ADC by methods of Calibration Techniques Presented by : Daniel...

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Improvement of Accuracy in Pipelined ADC by methods of Calibration Techniques Presented by : Daniel Chung Course : ECE1352F Professor : Khoman Phang

Transcript of Improvement of Accuracy in Pipelined ADC by methods of Calibration Techniques Presented by : Daniel...

Page 1: Improvement of Accuracy in Pipelined ADC by methods of Calibration Techniques Presented by : Daniel Chung Course : ECE1352F Professor : Khoman Phang.

Improvement of Accuracy in Pipelined ADC by methods of Calibration

Techniques 

•Presented by : Daniel Chung

•Course : ECE1352F•Professor : Khoman Phang

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Presentation Outline

• Introduction to Pipelined A/D converters

• Why is Calibration Technique of interest

• Performance Limitations

• Evolution of Digital Calibration

• Future challenges

• Conclusion

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Pipeline ADCs

• High resolution and high speed at the same time.

• Processing rate = 1 sample per cycle.

• Sample-hold amplifier at the input.

• Latency = N. N clock cycles to process each input signal.

• Compact area and efficient power dissipation

• Switch capacitor implementation in CMOS technologies. Capability for high-precision sampling and charge transfer.

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Pipeline ADCs

Figure 1: N-bit pipeline ADC with 1-bit/stage resolution. [5]

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Performance Limitations

• Resolution

• Quantization error

• ENOB – Effective number of bits. Commonly used metric for characterizing the performance of non-ideal quantizers.

• INL – Integral Nonlinearity Error

• DNL – Differential Nonlinearity Error.

• Monotonicity.

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Why Digital Calibration?

• Improve resolution

• Without any calibration, the pipelined ADC is generally limited to approx. 10-12 bits of resolution. [1]-[2]

• With Digital Calibration, resolution higher than 14 bits can be achieved. [3]-[4]

• Improve capacitor mismatch, comparator offset, charge injection, finite op-amp gain, and capacitor nonlinearity contributing to DNL

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Digital Calibration

• Missing decision levels result when the input of any of the stages exceeds the full scale due to mismatches.

• The missing decision levels can be eliminated, by using gain less than 2 and 2 to 3 more stages of pipeline, which gives enough redundancy in the analog decision levels.

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Digital Calibration

Figure 2: Digital Calibration applied to Stage 11. [4]

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Digital Calibration

Figure 3: Single-ended 2x residue amplifier: a) circuit diagram; b) during phase1; c) during phase2. [5]

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Digital Calibration

Figure 4: Digital Calibration. [4]

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Current Techniques

• Correction algorithms taking place continuously. Corrects time-varying inaccuracies caused by supply and temperature variations. [7]

• Measure the offset during normal converter operations.

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Current Techniques

Figure 5: A Radix-2 1.5-bit Switch Capacitor stage for background Calibration. [5]

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PRO / CON

• PRO

• Improve accuracy and resolution compared to not having any calibration circuits.

• With calibration techniques, resolution can be improved significantly.

• CON

• Additional Area.

• Complexity of the circuit increases.

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Future Challenges

• With newer processes, better capacitor matching is required.

• Minimize the usage of additional circuitry. Further optimization in techniques should improve area utilization and reduce power consumption.

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• Digital self-calibration technique based on radix < 2 applied to a pipeline ADC was discussed.

• This technique accounts for capacitor mismatch, comparator offset, finite op-amp gain, and for DNL error contributed by circuit nonlinearities.

• Original Digital Calibration techniques executed calibration procedures at the initial turn-on stages. However, more recent methods use continuous calibration techniques, to compensate for the constant variations in supply and temperature.

Conclusion

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References

[1] S. H. Lewis, H. S. Fetterman, G. F. Gross, R. Ramachandran, and T. R. Viswanathan, “A 10-b 20-Msample/s analog-to-digital converter,” IEEE J. Solid-State Circuits, vol.27, pp. 351-358, Mar. 1992.

[2] T. Byunghak and P. R. Gray, “A 10-b 20-Msample/s 35-mW pipeline A/D converter,” IEEE J. Solid-State Circuits, vol. 30, pp. 166-172, Mar. 1995.

[3] M. K. Mayes and S. W. Chin, “A 200-mW 1-Msample/s 16-b, pipelined A/D converter with on-chip 32-b microcontroller,” IEEE J. Solid-State Circuits, vol. 31, pp. 1862-1872, Dec. 1996.

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References

[4] A. N. Karanicolas, H. S. Lee and K. L. Bacrania, “A 15-b 1-Msample/s digitally self-calibrated pipeline ADC,” IEEE J. Solid-State Circuits, vol. 28, pp. 1207-1215, Dec. 1993.

[5] U. Moon, J. Steensgaard, and G. Temes, “Digital techniques for improving the accuracy of data converters, “IEEE Comm. Magazine, pp. 136-143, Oct. 1999.

[6] H. C. Liu, Z. M. Lee, J. T. Wu, “A Digital background calibration technique for pipelined analog-to-digital converters,” IEEE, pp. I-881 - I-884, 2003.

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References

[7] U. Moon and B. Song, “Background digital calibration techniques for pipelined ADCs,” IEEE Trans. Circuits Syst. II, pp. 102-109, Feb. 1997.

[8] H. S. Lee, D. A. Hodges and P. R. Gray, “A self-calibrating 15-bit CMOS A/D converter,” IEEE J. of Solid-State Circuits, vol. 19, pp. 813-819, Dec. 1984.

[9] D. A. Johns, K. Martin, “Analog Integrated Circuit Design.” John Wiley & Sons, Inc. New York, 1997.

[10] W. Law, J. Guo, C. T. Peach, W. J. Helms, and D. J. Allstot, “A Monotonic Digital Calibration Technique for Pipelined Data Converters,” ISCAS2003, Vol. 1, pp. I873-I876, 25-28 May 2003.

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Questions?