Noise shaping Asynchronous SAR ADC based time to digital converter

Time-to-digital converters (TDCs) are key elements for the digitization of timing information in modern mixed-signal circuits such as digital PLLs, DLLs, ADCs, and on-chip jitter-monitoring circuits. Especially, high-resolution TDCs are increasingly employed in on-chip timing tests, such as jitter and clock skew measurements, as advanced fabrication technologies allow fine on-chip time resolutions. Its main purpose is to quantize the time interval of a pulse signal or the time interval between the rising edges of two clock signals. Similarly to ADCs, the performance of TDCs are also primarily characterized by Resolution, Sampling Rate, FOM, SNDR, Dynamic Range and DNL/INL. This work proposes and demonstrates 2nd order noise shaping Asynchronous SAR ADC based TDC architecture with highest resolution of 0.25 ps among current state of art designs with respect to post-layout simulation results. This circuit is a combination of low power/High Resolution 2nd Order Noise Shaped Asynchronous SAR ADC backend with simple Time to Amplitude converter (TAC) front-end and is implemented in 40nm CMOS technology. Additionally, special emphasis is given on the discussion on various current state of art TDC architectures.Electrical and Computer Engineerin

Differential temperature sensors: Review of applications in the test and characterization of circuits, usage and design methodology

Differential temperature sensors can be placed in integrated circuits to extract a signature ofthe power dissipated by the adjacent circuit blocks built in the same silicon die. This review paper firstdiscusses the singularity that differential temperature sensors provide with respect to other sensortopologies, with circuit monitoring being their main application. The paper focuses on the monitoringof radio-frequency analog circuits. The strategies to extract the power signature of the monitoredcircuit are reviewed, and a list of application examples in the domain of test and characterizationis provided. As a practical example, we elaborate the design methodology to conceive, step bystep, a differential temperature sensor to monitor the aging degradation in a class-A linear poweramplifier working in the 2.4 GHz Industrial Scientific Medical—ISM—band. It is discussed how,for this particular application, a sensor with a temperature resolution of 0.02 K and a high dynamicrange is required. A circuit solution for this objective is proposed, as well as recommendations for thedimensions and location of the devices that form the temperature sensor. The paper concludes with adescription of a simple procedure to monitor time variability.Postprint (published version

A Novel Cyclic Time to Digital Converter Based on Triple-Slope Interpolation and Time Amplification

This paper investigates a novel cyclic time-to-digital converter (TDC) which employs triple-slope analog interpolation and time amplification techniques for digitizing the time interval between the rising edges of two input signals(Start and Stop). The proposed converter will be a 9-bit cyclic time-to-digital converter that does not use delay lines in its structure. Therefore, it has a low sensitivity to temperature, power supply and process (PVT) variations. The other advantages of the proposed converter are low circuit complexity, and high accuracy compared with the time-to-digital converters that have previously been proposed. Also, this converter improves the time resolution and the dynamic range. In the same resolution, linear range and dynamic range, the proposed cyclic TDC reduces the number of circuit elements compared with the converters that have a similar circuit structure. Thus, the converter reduces the chip area, the power consumption and the figure of merit (FoM). In this converter, the integral nonlinearity (INL) and differential nonlinearity (DNL) errors are reduced. In order to evaluate the idea, the proposed time-to-digital converter is designed in TSMC 45 nm CMOS technology and simulated. Comparison of the theoretical and simulation results confirms the benefits of the proposed TDC

Design, development, and fabrication of a electronic analog microminiaturized electronic analog signal to discrete time interval converter

The microminiaturization of an electronic analog signal to discrete time interval converter is presented. Discrete components and integrated circuits comprising the converter were assembled on a thin-film ceramic substrate containing nichrome resistors with gold interconnections. The finished assembly is enclosed in a flat package measuring 3.30 by 4.57 centimeters. The module can be used whenever conversion of analog to digital signals is required, in particular for the purpose of regulation by means of pulse modulation. In conjunction with a precision voltage reference, the module was applied to control the duty cycle of a switching regulator within a temperature range of -55 C to +125 C, and an input voltage range of 10V to 35V. The output-voltage variation was less than + or - 300 parts per million, i.e., less than + or - 3mV for a 10V output

Developing a framework of non-fatal occupational injury surveillance for risk control in palm oil mills

Non-fatal occupational injury (NFOI) and its risk factors have become a current global concern. The need of research towards the relationship between occupational injury and its risk factor is essential, to fulfil the purpose and setting the priority of implementing safety preventive approaches at workplace. This research intended to develop a framework of NFOI surveillance by using epidemiological data, noise exposure data and NFOI data among palm oil mills’ workers. A total of 420 respondents who assigned in operation and processing areas (OP) (n=333) and general or office workers (n=87) had voluntary participated in this research. A questionnaire session with respondents was held to obtain epidemiological data and NFOI information via validated questionnaire. Noise hazard monitoring was executed by using Sound Level Meter (SLM) for environmental noise monitoring and Personal Sound Dosimeter for personal noise monitoring. Gathered data were analysed in quantitative method by using statistical software IBM SPSS Statistic version 21 and a risk matrix table for injury risk rating evaluation. It was discovered that high noise exposure level (≥ 85 dB[A]) was significantly associated with non-fatal occupational injury among OP workers (φ=0.123, p<0.05) with OR=1.87 (95% CI, 1.080-3.235, p<0.05). Risk rating for reported NFOI was at moderate level, with minor cuts and scratches were the dominant type of injury (42.6%). Analysis of logistic regression indicated that working in shift, not wearing protective gloves, health problems such as shortness of breath and ringing in ears, and excessive noise level (≥ 85 dB[A]) were the risk factors of NFOI in palm oil mills among OP workers. A framework of nonfatal injury surveillance in palm oil mills was developed based on the findings with integration of risk management process and injury prevention principles. This framework is anticipated to help the management in decision making for preventive actions and early detection of occupational health effects among workers

Hybrid-control of synapse circuits for programmable cellular neural networks

This paper describes a hybrid weight-control strategy for VLSI realizations of programmable Cellular Neural Networks (CNNs), based on auto-tuning of analog control signals to digitally specified values. The approach merges the advantages of digital and analog programmability, achieving low areas and reduced number of control lines, simplifying the control and storage of weight values, and eliminating their dependency on global process-parameter variations

A double-sided silicon micro-strip super-module for the ATLAS inner detector upgrade in the high-luminosity LHC

The ATLAS experiment is a general purpose detector aiming to fully exploit the discovery potential of the Large Hadron Collider (LHC) at CERN. It is foreseen that after several years of successful data-taking, the LHC physics programme will be extended in the so-called High-Luminosity LHC, where the instantaneous luminosity will be increased up to 5 × 1034 cm−2 s−1. For ATLAS, an upgrade scenario will imply the complete replacement of its internal tracker, as the existing detector will not provide the required performance due to the cumulated radiation damage and the increase in the detector occupancy. The current baseline layout for the new ATLAS tracker is an all-silicon-based detector, with pixel sensors in the inner layers and silicon micro-strip detectors at intermediate and outer radii. The super-module is an integration concept proposed for the strip region of the future ATLAS tracker, where double-sided stereo silicon micro-strip modules are assembled into a low-mass local support structure. An electrical super-module prototype for eight double-sided strip modules has been constructed. The aim is to exercise the multi-module readout chain and to investigate the noise performance of such a system. In this paper, the main components of the current super-module prototype are described and its electrical performance is presented in detail