1,518 research outputs found

    PVT Compensation for Single-Slope Measurement Systems

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    A pulse-width locked loop (PWLL) circuit is reported that compensates for process, voltage, and temperature (PVT) variations of a linear ramp generator within a 12-bit multi-channel Wilkinson (single-slope integrating) Analog-to-Digital (ADC). This PWLL was designed and fabricated in a 0.5-um Silicon Germanium (SiGe) BiCMOS process. The PWLL architecture that is comprised of a phase detector, a charge-pump, and a pulse width modulator (PWM), is discussed along with the design details of the primary blocks. Simulation and silicon measurement data are shown that demonstrate a large improvement in the accuracy of the PVT-compensated ADC over the uncompensated ADC

    Power efficient, event driven data acquisition and processing using asynchronous techniques

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    PhD ThesisData acquisition systems used in remote environmental monitoring equipment and biological sensor nodes rely on limited energy supply soured from either energy harvesters or battery to perform their functions. Among the building blocks of these systems are power hungry Analogue to Digital Converters and Digital Signal Processors which acquire and process samples at predetermined rates regardless of the monitored signal’s behavior. In this work we investigate power efficient event driven data acquisition and processing techniques by implementing an asynchronous ADC and an event driven power gated Finite Impulse Response (FIR) filter. We present an event driven single slope ADC capable of generating asynchronous digital samples based on the input signal’s rate of change. It utilizes a rate of change detection circuit known as the slope detector to determine at what point the input signal is to be sampled. After a sample has been obtained it’s absolute voltage value is time encoded and passed on to a Time to Digital Converter (TDC) as part of a pulse stream. The resulting digital samples generated by the TDC are produced at a rate that exhibits the same rate of change profile as that of the input signal. The ADC is realized in 0.35mm CMOS process, covers a silicon area of 340mm by 218mm and consumes power based on the input signal’s frequency. The samples from the ADC are asynchronous in nature and exhibit random time periods between adjacent samples. In order to process such asynchronous samples we present a FIR filter that is able to successfully operate on the samples and produce the desired result. The filter also poses the ability to turn itself off in-between samples that have longer sample periods in effect saving power in the process

    A Digital-to-Analog Converter Architecture for Multi-Channel Applications

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    Systems-on-chip with the capability of driving multiple analog voltages are useful for a variety of applications, including multiple actuator control for robotics applications, automated test equipment systems, industrial automation, programmable logic controllers, and satellite ywheel motor control. Such applications require a DAC for each analog output. A multi-channel architecture that saves power and area by sharing hardware is needed. This work introduces a new single-ramp multi-channel 12-bit DAC architecture. The architecture includes a low power Gray code counter, ramp generator, digital comparator, analog memory units, and control logic. The new multi-channel DAC architecture allows hardware sharing between multiple channels, and enables Systems-on-Chip to have multiple analog outputs for stimulating transducers or motors. The DAC architecture is to be used in a variety of space and defense applications as part of the BAE Systems RAD6000 microcontroller project

    Design and Implementation of a Re-Configurable Arbitrary Signal Generator and Radio Frequency Spectrum Analyser

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    This research is focused on the design, simulation and implementation of a reconfigurable arbitrary signal generator and the design, simulation and implementation of a radio frequency spectrum analyser based on digital signal processing. Until recently, Application Specific Integrated Circuits (ASICs) were used to produce high performance re-configurable function and arbitrary waveform generators with comprehensive modulation capabilities. However, that situation is now changing with the availability of advanced but low cost Field Programmable Gate Arrays (FPGAs), which could be used as an alternative to ASICs in these applications. The availability of high performance FPGA families opens up the opportunity to compete with ASIC solutions at a fraction of the development cost of an ASIC solution. A fast digital signal processing algorithm for digital waveform generation, using primarily but not limited to Direct Digital Synthesis (DDS) technologies, developed and implemented in a field-configurable logic, with control provided by an embedded microprocessor replacing a high cost ASIC design appeared to be a very attractive concept. This research demonstrates that such a concept is feasible in its entirety. A fully functional, low-complexity, low cost, pulse, Gaussian white noise and DDS based function and arbitrary waveform generator, capable of being amplitude, frequency and phase modulated by an internally generated or external modulating signal was implemented in a low-cost FPGA. The FPGA also included the capabilities to perform pulse width modulation and pulse delay modulation on pulse waveforms. Algorithms to up-convert the sampling rate of the external modulating signal using Cascaded Integrator Comb (CIC) filters and using interpolation method were analysed. Both solutions were implemented to compare their hardware complexities. Analysis of generating noise with user-defined distribution is presented. The ability of triggering the generator by an internally generated or an external event to generate a burst of waveforms where the time between the trigger signal and waveform output is fixed was also implemented in the FPGA. Finally, design of interface to a microprocessor to provide control of the versatile waveform generator was also included in the FPGA. This thesis summarises the literature, design considerations, simulation and implementation of the generator design. The second part of the research is focused on radio frequency spectrum analysis based on digital signal processing. Most existing spectrum analysers are analogue in nature and their complexity increases with frequency. Therefore, the possibility of using digital techniques for spectrum analysis was considered. The aim was to come up with digital system architecture for spectrum analysis and to develop and implement the new approach on a suitable digital platform. This thesis analyses the current literature on shifting algorithms to remove spurious responses and highlights its drawbacks. This thesis also analyses existing literature on quadrature receivers and presents novel adaptation of the existing architectures for application in spectrum analysis. A wide band spectrum analyser receiver with compensation for gain and phase imbalances in the Radio Frequency (RF) input range, as well as compensation for gain and phase imbalances within the Intermediate Frequency (IF) pass band complete with Resolution Band Width (RBW) filtering, Video Band Width (VBW) filtering and amplitude detection was implemented in a low cost FPGA. The ability to extract the modulating signal from a frequency or amplitude modulated RF signal was also implemented. The same family of FPGA used in the generator design was chosen to be the digital platform for this design. This research makes arguments for the new architecture and then summarises the literature, design considerations, simulation and implementation of the new digital algorithm for the radio frequency spectrum analyser

    An 8-Bit Analog-to-Digital Converter for Battery Operated Wireless Sensor Nodes

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    Wireless sensing networks (WSNs) collect analog information transduced into the form of a voltage or current. This data is typically converted into a digital representation of the value and transmitted wirelessly using various modulation techniques. As the available power and size is limited for wireless sensor nodes in many applications, a medium resolution Analog-to-Digital Converter (ADC) is proposed to convert a sensed voltage with moderate speeds to lower power consumption. Specifications also include a rail-to-rail input range and minimized errors associated with offset, gain, differential nonlinearity, and integral nonlinearity. To achieve these specifications, an 8-bit successive approximation register ADC is developed which has a conversion time of nine clock cycles. This ADC features a charge scaling array included to achieve minimized power consumption and area by reducing unit capacitance in the digital-to-analog converter. Furthermore, a latched comparator provides fast decisions utilizing positive feedback. The ADC was designed and simulated using Cadence Virtuoso with parasitic extraction over expected operating temperature range of 0 – 85°C. The design was fabricated using TSMC’s 65 nanometer RF GP process and tested on a printed circuit board to verify design specifications. The measured results for the device show an offset and gain error of +7 LSB and 31.1 LSB, respectively, and a DNL range of -0.9 LSB to +0.8 LSB and an INL range of approximately -4.6 LSB to +12 LSB. The INL is much improved in regard to the application of the temperature sensor. The INL for this region of interest is from -3.5 LSB to +2.8 LSB

    Evaluation Of 28nm 10 Bit Adc Using Ramp And Sinusoidal Histogram Methodologies

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    ADC production testing has become more challenging due to more stringent test procedure for new generation of ADC. The trend for silicon cost is going down while the cost of test is going up. Therefore, to reduce the cost of test and preserve the test accuracy is essential for high volume testing in production. This research is conducted for accurate ADC testing using histogram methodologies. Histogram methodology is the most common test procedure used in high volume production testing. In the past there were a lot of studies on testing the ADC but there were no emphasizing on various histogram methodologies for high volume testing. This research objective is to develop test solutions for 28nm 10 bit ADC using histogram methodologies. The outcome from this research has clearly shows that the test program that has been developed is able to segregate the good and bad devices. 98.18% of the devices are able to pass the ADC testing while remaining 1.82% fail the ADC test. It was found that Ramp Histogram and Sinusoidal Histogram method has achieved this research objective as both methodologies shows similar result based on comparison that has been made. It was known that accurate ADC testing requires large sample size. This research found that multi-site testing was able to compensate the drawback in histogram methodologies. The result shows that multi-site testing is 63.72% more efficient in term of ADC testing time

    TARGET: A multi-channel digitizer chip for very-high-energy gamma-ray telescopes

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    The next-generation very-high-energy (VHE) gamma-ray observatory, the Cherenkov Telescope Array, will feature dozens of imaging atmospheric Cherenkov telescopes (IACTs), each with thousands of pixels of photo-sensors. To be affordable and reliable, reading out such a mega-channel array requires event recording technology that is highly integrated and modular, with a low cost per channel. We present the design and performance of a chip targeted to this application: the TeV Array Readout with GSa/s sampling and Event Trigger (TARGET). This application-specific integrated circuit (ASIC) has 16 parallel input channels, a 4096-sample buffer for each channel, adjustable input termination, self-trigger functionality, and tight window-selected readout. We report the performance of TARGET in terms of sampling frequency, power consumption, dynamic range, current-mode gain, analog bandwidth, and cross talk. The large number of channels per chip allows a low cost per channel (\10 to \20 including front-end and back-end electronics but not including photosensors) to be achieved with a TARGET-based IACT readout system. In addition to basic performance parameters of the TARGET chip itself, we present a camera module prototype as well as a second-generation chip (TARGET~2), both of which have been produced.Comment: 16 pages, 15 figures, version 3 (matches version published in Astroparticle Physics

    Study of voltage controlled oscillator based analog-to-digital converter

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    A voltage controlled oscillator (VCO) based analog-to-digital converter (ADC) is a time based architecture with a first-order noise-shaping property, which can be implemented using a VCO and digital circuits. This thesis analyzes the performance of VCO-based ADCs in the presence of non idealities such as jitter, nonlinearity, mismatch, and the metastability of D flip-flops. Based on this analysis, design criteria for determining parameters for VCO-based ADCs are described. Further, the study involves the use of VCO based Dual-slope A/D converter and its behaviour under different input voltage level. Graph is plotted between output voltages of the integrator vs. time. Digital circuits like a bit-counter and logic circuits are used for operation mode. A normal VCO model is also done in MATLAB-simulink environment and studied under variable input frequency and corresponding output plots are view
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