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An algorithmic Analog to Ditital Converter for CMOS image sensors Masters Thesis Presentation Deyan Dimitrov Link oping University June 12, 2013 Deyan Dimitrov Link oping University An algorithmic Analog to Ditital Converter for


  1. An algorithmic Analog to Ditital Converter for CMOS image sensors Master’s Thesis Presentation Deyan Dimitrov Link¨ oping University June 12, 2013 Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  2. Outline Analog readout schemes in CMOS Image Sensors (CIS) General performance requirements from a column-parallel CIS ADC The Algorithmic/Cyclic ADC architecture A few explored MDAC configurations The Cyclic ADC implementation Designed ADC characterization and results Some improvement ideas Conclusion and possible future tasks Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  3. Introduction to image sensor readout R O W R O W D E C O D E R D E C O D E R Column Amplifiers/Sample and Hold to on-chip 0101 0101 0101 0101 0101 0101 0101 0101 0101 0101 processing Column Multiplexers ADC Local Memory and Drivers Basic serial readout Basic parallel readout Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  4. A pixel (the device under read) Main pixel parameters coupled to A photogate-based active pixel ADC requirements: VDD Output range Integration (exposure) time V reset PG TX Reset time n n p + Dark Noise V word out PSRR Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  5. Requirements over column-parallel CIS ADCs Integral Non-Linearity - random uniform (8-bit image) Random uniform INL distribution. 15 Random uniform INL distribution. 15 10 10 5 Dev in LSB 5 0 Dev in LSB 0 −5 −5 −10 −10 −15 0 50 100 150 200 250 Code −15 0 50 100 150 200 250 Code ± 1 LSB ± 8 LSB For visible spectrum, human eye starts recognizing distortion beyond 6-7% INL Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  6. Requirements over column-parallel CIS ADCs cont’d Differential Non-Linearity - random single missing codes over the whole range (up-to 1 code from stair-to-stair) Reference Image Random missing codes Even if ± 1 LSB, artifacts become visible to the eye. Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  7. Requirements over column-parallel CIS ADCs cont’d Column ADC mismatch fixed-pattern noise effect (8-bit image), pattern used ∆ rand 1 , ∆ rand 2 , ∆ rand 3 ... ± 2 LSB ± 16 LSB Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  8. Requirements over column-parallel CIS ADCs cont’d Full-scale step-response Out of range recovery Random noise Conversion speed: 1 τ pix res + τ pix sig Hf s (1) τ conv < ≈ − N me N me n cds 2 Power consumption, typically: 100 ÷ 500 µ W Resolution: 8 (very high speed imagers) ÷ 14 bits Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  9. The Algorithmic/Cyclic ADC architecture Why cyclic? analog input iteration loop MDAC φ cycle φ in x2 vAnalogIn Sub-DA Sub-AD residual signal RSD [1 :0] digitized analog signal partial result RSD to BIN Logic WORDOUT [12 :0] A functional block diagram of a RSD Cyclic ADC Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  10. The Algorithmic/Cyclic ADC architecture cont’d The RSD error correction scheme V out V out clipped output only offsets over 7 8 and below 1 8 will not be corrected V ref 3 4 V ref 1 4 V ref offset offset V in V in ”00” ”01” ”10” ”0” ”1” A comparative example between RSD and conventional ADC stages Allows for Sub-AD comparator online offset error correction during each consecutive iteration (cycle) Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  11. A few explored MDAC configurations The ”flip-around” MDAC Advantages/Disadvantages: architecture ⊕ Offset cancellation φ 2 ⊕ Parasitic insensitive φ 1 ⊖ Amplifier BW limited φ 1 C f ⊖ Matching dependent V in φ 1 V out C s φ 2 virtual ground V r (0 , ± V ref ) Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  12. A few explored MDAC configurations cont’d The ”modified flip-around” Advantages/Disadvantages: MDAC architecture ⊕ Non-OP-BW limited ( φ 1 ) φ 2 ⊕ Allows OP re-use at φ 1 φ 1 C f ⊖ No offset cancellation V in φ 1 ⊖ Matching dependent V out C s φ 1 φ 1 φ 2 V r (0 , ± V ref ) More popular than the previous due to OP BW independence Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  13. A few explored MDAC configurations cont’d The cap-stacking concept An SC integrator - multiply by n structure 2 V in V in V in C f V in φ 1 φ 2 q = CV in q = CV in C parasitic C s V out φ 1 φ 2 V in Opamp high gain requirement Accumulates offset Parasitic sensitive Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  14. A few explored MDAC configurations cont’d A MDAC with integrated analog CDS φ 3 φ 4 C 1 V ref + under-range C 3 to comparators C 3 C 1 C 2 C 2 C 3 V sig C 2 C 1 V reset C 4 C 5 V ref + C 5 C 6 to comparators C 6 V ref − V ref − C 5 C 4 within range C 4 C 6 over-range Signal sampling Reset sampling Feedback and amplification High complexity, non-trivial to design ”Bulky” design, multiple switches, phases, capacitors Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  15. Preliminary followed ADC design specifications Parameter Value Unit Resolution 12 bits Sampling rate > 130 kSps Integral Non-Linearity < 10 LSB Differential Non-Linearity < 0.5 LSB Power consumption < 300 µ W Supply voltage 3.3 ± 10% V Process node 0.18 µ m Area - µ m Main ADC specifications followed during the design study Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  16. The implemented Cyclic ADC φ SD φ 1 D V IN φ INIT C 2 φ 0 φ S to comparators φ N C 1 a φ 2 V RH φ M φ 1 Vcom φ P C 1 b V RL Vcom Principal schematic diagram of the cyclic core-architecture, as proposed by Jong-Ho Park et. al. Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  17. The implemented Cyclic ADC cont’d OTA requirements Possible candidates Telescopic OTA DC Gain: > 84 dB Current mirror OTA ω ug : > 10 MHz Folded cascode OTA PSRR: > 40 dB Two stage OTA Offset: ALAP Noise: < 200 µ V 2 at BW range Power: 30 ÷ 50 µ W Input and output ranges > pixel range Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  18. The implemented Cyclic ADC cont’d VDD VDD VDD VDD B : 1 1 : B M 3 M 4 M 5 M 6 V bias V bias M 11 M 9 V IN n V IN p V out M 1 M 2 V bias C L V bias M 12 M 10 I bias M 7 M 8 The implemented current mirror OTA architecture Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  19. The implemented Cyclic ADC cont’d Comparator requirements Explored candidates Input offset: Static latched comparator ± 1 8 ( V RH − V RL ) A Class AB latched Response time: < 500 ns comparator Resolution: > 400 µ V A fully dynamic latched comparator Noise variance: < Input offset Kickback noise: < left OTA recover time Power: < 10 µ W Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  20. The implemented Cyclic ADC cont’d VDD VDD VDD VDD VDD VDD ′ ′ ′ ′ ′ ′ ′′ ′′ ′′ ′′ ′′ ′′ ′′′ ′′′ ′′′ ′′′ ′′′ ′′′ M M M M M M M M M M M M M M M M M M 10 8 5 6 9 11 10 8 5 6 9 11 10 8 5 6 9 11 V lat V lat V lat V lat V lat V lat V ONH V OP H V OP M V ONM V ONL V OP L ′ ′ ′′ ′′ ′′′ ′′′ M M M M M M 3 4 3 4 3 4 V PH V INp V PL V NL ′ ′ ′′ ′′ M M M M 1 2 1 2 V lat V lat ′ ′′ M M 7 7 A principal schematic diagram of the implemented Sub-AD comparators Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  21. The implemented Cyclic ADC cont’d Switch requirements Explored candidates Input range: V RL ÷ V RH + Clock-boosted techniques margin A Bootstrapped switch R on : to achieve a reasonable technique settling-time A transmission-gate based Charge injection: at MSB switch cycle < V LSB distortion Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

  22. The implemented Cyclic ADC cont’d LA φ SD φ 1 D ∆ V IN φ 1 φ INIT φ 1 D LA φ 2 C 2 ∆ φ 0 φ S to comparators φ N C 1 a φ 2 V RH LA V gp φ M φ 1 Vcom electrons φ P C 1 b V in V RL V out holes V gn Vcom A clarification of the considered accuracy-critical switch nodes Deyan Dimitrov Link¨ oping University An algorithmic Analog to Ditital Converter for CMOS image sensors

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