2,963 research outputs found

    A CMOS 0.18μm 64×64 single photon image sensor with in-pixel 11b time-to-digital converter

    Get PDF
    The design and characterization of a CMOS 64×64 single-photon avalanche-diode (SPAD) array with in-pixel 11b time-to-digital converter (TDC) is presented. It is targeted for time-resolved imaging, in particular 3D imaging. The achieved pixel pitch is 64μm with a fill factor of 3.5%. The chip was fabricated in a 0.18μm standard CMOS technology and implements a double functionality: Time-of-Flight estimation and photon counting. The imager features a programmable time resolution for the array of TDCs from 625ps down to 145ps. The measured accuracy of the minimum time bin is lower than ±1LSB DNL and 1.7LSB INL. The TDC jitter over the full dynamic range is less than 1LSB. Die-to-die process variation and temperature are discarded by auto-calibration. Fast quenching/restore circuit on each pixel lowers the power consumption by limiting the avalanche currents. Time gatedoperation is possible as well.Office of Naval Research (USA) N000141410355Ministerio de Economía y Competitividad TEC2012-38921- C02, IPT- 2011-1625-430000, IPC- 20111009 CDTIJunta de Andalucía TIC 2012- 233

    1D Cellular Automata for Pulse Width Modulated Compressive Sampling CMOS Image Sensors

    Get PDF
    Compressive sensing (CS) is an alternative to the Shannon limit when the signal to be acquired is known to be sparse or compressible in some domain. Since compressed samples are non-hierarchical packages of information, this acquisition technique can be employed to overcome channel losses and restricted data rates. The quality of the compressed samples that a sensor can deliver is affected by the measurement matrix used to collect them. Measurement matrices usually employed in CS image sensors are recursive random-like binary matrices obtained using pseudo-random number generators (PRNG). In this paper we analyse the performance of these PRNGs in order to understand how their non-idealities affect the quality of the compressed samples. We present the architecture of a CMOS image sensor that uses class-III elementary cellular automata (ECA) and pixel pulse width modulation (PWM) to generate onchip a measurement matrix and high the quality compressed samples.Ministerio de Economía y Competitividad TEC2015-66878-C3-1-RJunta de Andalucía TIC 2338-2013Office of Naval Research N000141410355CONACYT (Mexico) MZO-2017-29106

    A CMOS 8×8 SPAD array for Time-of-Flight measurement and light-spot statistics

    Get PDF
    The design and simulation of a CMOS 8 × 8 single photon avalanche diode (SPAD) array is presented. The chip has been fabricated in a 0.18μm standard CMOS technology and implements a double functionality: measuring the Time-of-Flight with the help of a pulsed light source; or computing focal-plane statistics in biomedical imaging applications based on a concentrated light-spot. The incorporation of on-chip processing simplifies the interfacing of the array with the host system. The pixel pitch is 32μm, while the diameter of the quasi-circular active area of the SPADs is 12μm. The 113μm 2 active area is surrounded by a T-well guard ring. The resulting breakdown voltage is 10V with a maximum excess voltage of 1.8V. The pixel incorporates a novel active quenching/reset circuit. The array has been designed to operate with a laser pulsed at 20Mhz. The overall time resolution is 115ps. Focal-plane statistics are obtained in digital format. The maximum throughput of the digital output buffers is 200Mbps.Ministerio de Economía y Competitividad IPT-2011-1625- 430000, IPC-20111009Office of Naval Research (USA) N00014111031

    Photon Counting and Direct ToF Camera Prototype Based on CMOS SPADs

    Get PDF
    This paper presents a camera prototype for 2D/3D image capture in low illumination conditions based on single-photon avalanche-diode (SPAD) image sensor for direct time-offlight (d-ToF). The imager is a 64×64 array with in-pixel TDC for high frame rate acquisition. Circuit design techniques are combined to ensure successful 3D image capturing under low sensitivity conditions and high level of uncorrelated noise such as dark count and background illumination. Among them an innovative time gated front-end for the SPAD detector, a reverse start-stop scheme and real-time image reconstruction at Ikfps are incorporated by the imager. To the best of our knowledge, this is the first ToF camera based on a SPAD sensor fabricated and proved for 3D image reconstruction in a standard CMOS process without any opto-flavor or high voltage option. It has a depth resolution of 1cm at an illumination power from less than 6nW/mm 2 down to 0.1nW/mm 2 .Office of Naval Research (USA) N000141410355Ministerio de Economía y Competitividad TEC2015-66878-C3- 1-RJunta de Andalucía P12-TIC 233

    Low-Noise and High-Efficiency Near-IR SPADs in 110nm CIS Technology

    Get PDF
    Photon detection at longer wavelengths is much desired for LiDAR applications. Silicon photodiodes with deeper junctions and larger multiplication regions are in principle more sensitive to near-IR photons. This paper presents the complete electro-optical characterization of a P-well/ Deep N-well singlephoton avalanche diodes integrated in 110nm CMOS image sensor technology. The performance of time-of-flight image sensors is determined by the characteristics of the individual SPADs. In order to fully characterize this technology, devices with various sizes, shapes and guard ring widths have been fabricated and tested. The measured mean breakdown voltage is of 18V. The proposed structure has 0.4Hz/µm 2 dark count rate, 0.5% afterpulsing, 188ps FWHM (total) jitter and around 10% photon detection probability at 850nm wavelength. All figures have been measured at 3V excess voltage.Office of Naval Research (USA) N000141912156Junta de Andalucía P12-TIC 2338Ministerio de Economía y Competitividad RTI2018-097088-B-C3

    Compressive image sensor architecture with on-chip measurement matrix generation

    Get PDF
    A CMOS image sensor architecture that uses a cellular automaton for the pseudo-random compressive sampling matrix generation is presented. The image sensor employs in-pixel pulse-frequency modulation and column wise pulse counters to produce compressed samples. A common problem of compressive sampling applied to image sensors is that the size of a full-frame compressive strategy is too large to be stored in an on-chip memory. Since this matrix has to be transmitted to or from the reconstruction system its size would also prevent practical applications. A full-frame compressive strategy generated using a 1-D cellular automaton showing a class III behavior neither needs a storage memory nor needs to be continuously transmitted. In-pixel pulse frequency modulation and up-down counters allow the generation of differential compressed samples directly in the digital domain where it is easier to improve the required dynamic range. These solutions combined together improve the accuracy of the compressed samples thus improving the performance of any generic reconstruction algorithm.Ministerio de Economía y Competitividad TEC2015-66878-C3-1-RJunta de Andalucía TIC 2338-2013Office of Naval Research (USA) N00014141035

    Experimental Evidence of Power Efficiency due to Architecture in Cellular Processor Array Chips

    Get PDF
    Speeding up algorithm execution can be achieved by increasing the number of processing cores working in parallel. Of course, this speedup is limited by the degree to which the algorithm can be parallelized. Equivalently, by lowering the operating frequency of the elementary processors, the algorithm can be realized in the same amount of time but with measurable power savings. An additional result of parallelization is that using a larger number of processors results in a more efficient implementation in terms of GOPS/W. We have found experimental evidence for this in the study of massively parallel array processors, mainly dedicated to image processing. Their distributed architecture reduces the energy overhead dedicated to data handling, thus resulting in a power efficient implementationMinisterio de Economía y Competitividad TEC2015-66878-C3-1-RCentro para el Desarrollo Tecnológico e Industrial IPC- 20111009Junta de Andalucía TIC 2338-2013Office of Naval Research (USA) N00014141035

    Experimental Evidence of Power Efficiency due to Architecture in Cellular Processor Array Chips

    Get PDF
    Speeding up algorithm execution can be achieved by increasing the number of processing cores working in parallel. Of course, this speedup is limited by the degree to which the algorithm can be parallelized. Equivalently, by lowering the operating frequency of the elementary processors, the algorithm can be realized in the same amount of time but with measurable power savings. An additional result of parallelization is that using a larger number of processors results in a more efficient implementation in terms of GOPS/W. We have found experimental evidence for this in the study of massively parallel array processors, mainly dedicated to image processing. Their distributed architecture reduces the energy overhead dedicated to data handling, thus resulting in a power efficient implementationMinisterio de Economía y Competitividad TEC2015-66878-C3-1-RCentro para el Desarrollo Tecnológico e Industrial IPC- 20111009Junta de Andalucía TIC 2338-2013Office of Naval Research (USA) N00014141035

    Characterization of electrical crosstalk in 4T-APS arrays using TCAD simulations

    Get PDF
    TCAD simulations have been conducted on a CMOS image sensor in order to characterize the electrical component of the crosstalk between pixels through the study of the electric field distribution. The image sensor consists on a linear array of five pinned photodiodes (PPD) with their transmission gates, floating diffusion and reset transistors. The effect of the variations of the thickness of the epitaxial layer has been addressed as well. In fact, the depth of the boundary of the epitaxial layer affects quantum efficiency (QE) so a correlation with crosstalk has been identified.Ministerio de Economía y Competitividad TEC2015-66878-C3-1RJunta de Andalucía TIC 2012-2338Office of Naval Research (USA) N00014141035
    corecore