A 0.5 V Sub-Microwatt CMOS Image Sensor With Pulse-Width Modulation Read-Out

Energy minimization is a critical goal in size-constrained wireless sensors. Sensing elements are traditionally power hungry and require special attention in low energy systems. In this work, we study ultra-low power image sensors. In particular, we explore the use of aggressive voltage scaling in CMOS image sensors for applications ranging from retinal prostheses to battlefield monitoring and surveillance. We begin with a discussion of the challenges faced by a traditional 3T active pixel sensor as the supply voltage scales to 0.5 V and below. We then discuss an image sensor with pulse-width modulation read-out that is optimized for 0.5 V operation. A 0.13 ¿m test-chip with a 128 × 128 pixel array is shown to be functional with Vdd as low as 0.45 V with energy consumption of 140 nJ/frame at Vdd = 0.5 V (8.5 frames per second) and power consumption of only 700 nW at Vdd = 0.5 V (0.5 frames per second). A focus is also placed on quantifying the noise implications of low voltage operation on the test-chip, which has a measured signal-to-noise ratio of 23.4 dB in saturation at Vdd = 0.5 V.

[1]  Anna W. Topol,et al.  Stable SRAM cell design for the 32 nm node and beyond , 2005, Digest of Technical Papers. 2005 Symposium on VLSI Technology, 2005..

[2]  David Blaauw,et al.  Analysis and mitigation of variability in subthreshold design , 2005, ISLPED '05. Proceedings of the 2005 International Symposium on Low Power Electronics and Design, 2005..

[3]  A. Chandrakasan,et al.  A 180-mV subthreshold FFT processor using a minimum energy design methodology , 2005, IEEE Journal of Solid-State Circuits.

[4]  Barry Fowler,et al.  A 640×512 CMOS Image Sensor with Ultra Wide Dynamic Range Floating-Point Pixel-Level ADC , 1999 .

[5]  A.P. Chandrakasan,et al.  Next generation micro-power systems , 2008, 2008 IEEE Symposium on VLSI Circuits.

[6]  M. Bocko,et al.  A 0.88nW/pixel, 99.6 dB Linear-Dynamic-Range Fully-Digital Image Sensor Employing a Pixel-Level Sigma-Delta ADC , 2006, 2006 Symposium on VLSI Circuits, 2006. Digest of Technical Papers..

[7]  K. Sakamura,et al.  1-cc Computer: Cross-Layer Integration With UWB-IR Communication and Locationing , 2008, IEEE Journal of Solid-State Circuits.

[8]  P.R. Kinget Designing analog and RF circuits for ultra-low supply voltages , 2007, ESSCIRC 2007 - 33rd European Solid-State Circuits Conference.

[9]  Sanshiro Shishido,et al.  A 3.6pW/frame·pixel 1.35V PWM CMOS Imager with Dynamic Pixel Readout and no Static Bias Current , 2008, 2008 IEEE International Solid-State Circuits Conference - Digest of Technical Papers.

[10]  A. El Gamal,et al.  A 640/spl times/512 CMOS image sensor with ultra wide dynamic range floating-point pixel-level ADC , 1999, 1999 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC. First Edition (Cat. No.99CH36278).

[11]  Myeong-Eun Hwang,et al.  A 85mV 40nW Process-Tolerant Subthreshold 8×8 FIR Filter in 130nm Technology , 2007, 2007 IEEE Symposium on VLSI Circuits.

[12]  David Blaauw,et al.  Ultralow-voltage, minimum-energy CMOS , 2006, IBM J. Res. Dev..

[13]  E.R. Fossum,et al.  A 1.2 V micropower CMOS active pixel image sensor for portable applications , 2000, 2000 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.00CH37056).

[14]  Loren Schwiebert,et al.  A biomedical smart sensor for the visually impaired , 2002, Proceedings of IEEE Sensors.

[15]  Bo Zhai,et al.  Exploring Variability and Performance in a Sub-200-mV Processor , 2008, IEEE Journal of Solid-State Circuits.

[16]  Dennis Sylvester,et al.  A 0.45–0.7V sub-microwatt CMOS image sensor for ultra-low power applications , 2009, 2009 Symposium on VLSI Circuits.

[17]  T. Morie,et al.  A smart CMOS imager with pixel level PWM signal processing , 1999, 1999 Symposium on VLSI Circuits. Digest of Papers (IEEE Cat. No.99CH36326).

[18]  John Keane,et al.  Utilizing Reverse Short-Channel Effect for Optimal Subthreshold Circuit Design , 2006, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[19]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.