355 research outputs found

    VLSI Design for Multi-Sensor Smart Systems on a Chip

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    Spectral Signature Analysis โ€“ BIST for RF Front-Ends

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    In this paper, the Spectral Signature Analysis is presented as a concept for an integrable self-test system (Built-In Self-Test โ€“ BIST) for RF front-ends is presented. It is based on modelling the whole RF front-end (transmitter and receiver) on system level, on generating of a Spectral Signature and of evaluating of the Signature Response. Because of using multi-carrier signal as the test signature, the concept is especially useful for tests of linearity and frequency response of front-ends. Due to the presented method of signature response evaluation, this concept can be used for Built-In Self-Correction (BISC) at critical building blocks

    Implementation of a real-time industrial web scanning system hardware architecture

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    Frequency diversity wideband digital receiver and signal processor for solid-state dual-polarimetric weather radars

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    2012 Summer.Includes bibliographical references.The recent spate in the use of solid-state transmitters for weather radar systems has unexceptionably revolutionized the research in meteorology. The solid-state transmitters allow transmission of low peak powers without losing the radar range resolution by allowing the use of pulse compression waveforms. In this research, a novel frequency-diversity wideband waveform is proposed and realized to extenuate the low sensitivity of solid-state radars and mitigate the blind range problem tied with the longer pulse compression waveforms. The latest developments in the computing landscape have permitted the design of wideband digital receivers which can process this novel waveform on Field Programmable Gate Array (FPGA) chips. In terms of signal processing, wideband systems are generally characterized by the fact that the bandwidth of the signal of interest is comparable to the sampled bandwidth; that is, a band of frequencies must be selected and filtered out from a comparable spectral window in which the signal might occur. The development of such a wideband digital receiver opens a window for exciting research opportunities for improved estimation of precipitation measurements for higher frequency systems such as X, Ku and Ka bands, satellite-borne radars and other solid-state ground-based radars. This research describes various unique challenges associated with the design of a multi-channel wideband receiver. The receiver consists of twelve channels which simultaneously downconvert and filter the digitized intermediate-frequency (IF) signal for radar data processing. The product processing for the multi-channel digital receiver mandates a software and network architecture which provides for generating and archiving a single meteorological product profile culled from multi-pulse profiles at an increased data date. The multi-channel digital receiver also continuously samples the transmit pulse for calibration of radar receiver gain and transmit power. The multi-channel digital receiver has been successfully deployed as a key component in the recently developed National Aeronautical and Space Administration (NASA) Global Precipitation Measurement (GPM) Dual-Frequency Dual-Polarization Doppler Radar (D3R). The D3R is the principal ground validation instrument for the precipitation measurements of the Dual Precipitation Radar (DPR) onboard the GPM Core Observatory satellite scheduled for launch in 2014. The D3R system employs two broadly separated frequencies at Ku- and Ka-bands that together make measurements for precipitation types which need higher sensitivity such as light rain, drizzle and snow. This research describes unique design space to configure the digital receiver for D3R at several processing levels. At length, this research presents analysis and results obtained by employing the multi-carrier waveforms for D3R during the 2012 GPM Cold-Season Precipitation Experiment (GCPEx) campaign in Canada

    Analog Block Evaluation with BIST Instruments

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    The demands for quality and for the ability to compete in the market make it necessary not only to facilitate the testing of analog circuits but also to make them more efficient. With the increase in systems complexity and level of integration, the process of testing analog circuits has become difficult and expensive. This dissertation, proposed by Synopsys Portugal, aims to perform a study on analog Built-In Self-Test (BIST) and implement a simple analog BIST system that is capable of testing a voltage regulator and an oscillator on specifics parameters. In the regulator, the parameters to test are: Over and Under Voltage, Settling Time and Voltage Ripple. In the oscillator the parameters to test are: Frequency Drift, Settling Time and Duty-Cycle Distortion. This methodology allows for self-test operations and, thus, reduces complexity and cost associated with performing analog circuit tests. It makes it possible to test the circuits periodically throughout its lifetime and also monitors some analog parameters in real-time

    ํŽ„์Šค ๊ธฐ๋ฐ˜ ํ”ผ๋“œ ํฌ์›Œ๋“œ ์ดํ€„๋ผ์ด์ €๋ฅผ ๊ฐ–์ถ˜ ๊ณ ์šฉ๋Ÿ‰ DRAM์„ ์œ„ํ•œ ์ปจํŠธ๋กค๋Ÿฌ PHY ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2020. 8. ๊น€์ˆ˜ํ™˜.A controller PHY for managed DRAM solution, which is a new memory structure to maximize capacity while minimizing refresh power, is presented. Inter-symbol interference is critical in such a high-capacity DRAM interface in which many DRAM chips share a command/address (C/A) channel. A pulse-based feed-forward equalizer (PB-FFE) is introduced to reduce ISI on a C/A channel. The controller PHY supports all the training sequences specified in the DDR4 standard. A glitch-free DCDL is also adopted to perform link training efficiently and to reduce training time. The DQ transmitter adopts quarter-rate architecture to reduce output latency. For the quarter-rate transmitters in DQ, we propose a quadrature error corrector (QEC), in which clock signal phase errors are corrected using two replicas of the 4:1 serializer of the output stage. Pulse shrinking is used to compare and equalize the outputs of these two replica serializers. A controller PHY was fabricated in 55nm CMOS. The PB-FFE increases the timing margin from 0.23UI to 0.29UI at 1067Mbps. At 2133Mbps, the read timing and voltage margins are 0.53UI and 211mV after read training, and the write margins are 0.72UI and 230mV after write training. To validate the QEC effectiveness, a prototype quarter-rate transmitter, including the QEC, was fabricated to another chip in 65nm CMOS. Adopting our QEC, the experimental results show that the output phase errors of the transmitter are reduced to a residual error of 0.8ps, and the output eye width and height are improved by 84% and 61%, respectively, at a data-rate of 12.8Gbps.๋ณธ ์—ฐ๊ตฌ์—์„œ ์šฉ๋Ÿ‰์„ ์ตœ๋Œ€ํ™”ํ•˜๋ฉด์„œ๋„ ๋ฆฌํ”„๋ ˆ์‹œ ์ „๋ ฅ์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒˆ๋กœ์šด ๋ฉ”๋ชจ๋ฆฌ ๊ตฌ์กฐ์ธ ๊ด€๋ฆฌํ˜• DRAM ์†”๋ฃจ์…˜์„ ์œ„ํ•œ ์ปจํŠธ๋กค๋Ÿฌ PHY๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค. ์ด์™€ ๊ฐ™์€ ๊ณ ์šฉ๋Ÿ‰ DRAM ์ธํ„ฐํŽ˜์ด์Šค์—์„œ๋Š” ๋งŽ์€ DRAM ์นฉ์ด ๋ช…๋ น / ์ฃผ์†Œ (C/A) ์ฑ„๋„์„ ๊ณต์œ ํ•˜๊ณ  ์žˆ์–ด์„œ ์‹ฌ๋ณผ ๊ฐ„ ๊ฐ„์„ญ์ด ๋ฐœ์ƒํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด๋Ÿฌํ•œ C/A ์ฑ„๋„์—์„œ์˜ ์‹ฌ๋ณผ ๊ฐ„ ๊ฐ„์„ญ์„ ์ค„์ด๊ธฐ ์œ„ํ•ด ํŽ„์Šค ๊ธฐ๋ฐ˜ ํ”ผ๋“œ ํฌ์›Œ๋“œ ์ดํ€„๋ผ์ด์ € (PB-FFE)๋ฅผ ์ฑ„ํƒํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋ณธ ์—ฐ๊ตฌ์˜ ์ปจํŠธ๋กค๋Ÿฌ PHY๋Š” DDR4 ํ‘œ์ค€์— ์ง€์ •๋œ ๋ชจ๋“  ํŠธ๋ ˆ์ด๋‹ ์‹œํ€€์Šค๋ฅผ ์ง€์›ํ•œ๋‹ค. ๋งํฌ ํŠธ๋ ˆ์ด๋‹์„ ํšจ์œจ์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•˜๊ณ  ํŠธ๋ ˆ์ด๋‹ ์‹œ๊ฐ„์„ ์ค„์ด๊ธฐ ์œ„ํ•ด ๊ธ€๋ฆฌ์น˜๊ฐ€ ๋ฐœ์ƒํ•˜์ง€ ์•Š๋Š” ๋””์ง€ํ„ธ ์ œ์–ด ์ง€์—ฐ ๋ผ์ธ (DCDL)์„ ์ฑ„ํƒํ•˜์˜€๋‹ค. ์ปจํŠธ๋กค๋Ÿฌ PHY์˜ DQ ์†ก์‹ ๊ธฐ๋Š” ์ถœ๋ ฅ ๋Œ€๊ธฐ ์‹œ๊ฐ„์„ ์ค„์ด๊ธฐ ์œ„ํ•ด ์ฟผํ„ฐ ๋ ˆ์ดํŠธ ๊ตฌ์กฐ๋ฅผ ์ฑ„ํƒํ•˜์˜€๋‹ค. ์ฟผํ„ฐ ๋ ˆ์ดํŠธ ์†ก์‹ ๊ธฐ์˜ ๊ฒฝ์šฐ์—๋Š” ์ง๊ต ํด๋Ÿญ ๊ฐ„ ์œ„์ƒ ์˜ค๋ฅ˜๊ฐ€ ์ถœ๋ ฅ ์‹ ํ˜ธ์˜ ๋ฌด๊ฒฐ์„ฑ์— ์˜ํ–ฅ์„ ์ฃผ๊ฒŒ ๋œ๋‹ค. ์ด๋Ÿฌํ•œ ์˜ํ–ฅ์„ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•ด ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ถœ๋ ฅ ๋‹จ์˜ 4 : 1 ์ง๋ ฌ ๋ณ€ํ™˜๊ธฐ์˜ ๋‘ ๋ณต์ œ๋ณธ์„ ์‚ฌ์šฉํ•˜์—ฌ ํด๋ก ์‹ ํ˜ธ ์œ„์ƒ ์˜ค๋ฅ˜๋ฅผ ์ˆ˜์ •ํ•˜๋Š” QEC (Quadrature Error Corrector)๋ฅผ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋ณต์ œ๋œ 2๊ฐœ์˜ ์ง๋ ฌ ๋ณ€ํ™˜๊ธฐ์˜ ์ถœ๋ ฅ์„ ๋น„๊ตํ•˜๊ณ  ๊ท ๋“ฑํ™”ํ•˜๊ธฐ ์œ„ํ•ด ํŽ„์Šค ์ˆ˜์ถ• ์ง€์—ฐ ๋ผ์ธ์ด ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ์ปจํŠธ๋กค๋Ÿฌ PHY๋Š” 55nm CMOS ๊ณต์ •์œผ๋กœ ์ œ์กฐ๋˜์—ˆ๋‹ค. PB-FFE๋Š” 1067Mbps์—์„œ C/A ์ฑ„๋„ ํƒ€์ด๋ฐ ๋งˆ์ง„์„ 0.23UI์—์„œ 0.29UI๋กœ ์ฆ๊ฐ€์‹œํ‚จ๋‹ค. ์ฝ๊ธฐ ํŠธ๋ ˆ์ด๋‹ ํ›„ ์ฝ๊ธฐ ํƒ€์ด๋ฐ ๋ฐ ์ „์•• ๋งˆ์ง„์€ 2133Mbps์—์„œ 0.53UI ๋ฐ 211mV์ด๊ณ , ์“ฐ๊ธฐ ํŠธ๋ ˆ์ด๋‹ ํ›„ ์“ฐ๊ธฐ ๋งˆ์ง„์€ 0.72UI ๋ฐ 230mV์ด๋‹ค. QEC์˜ ํšจ๊ณผ๋ฅผ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•ด QEC๋ฅผ ํฌํ•จํ•œ ํ”„๋กœํ†  ํƒ€์ž… ์ฟผํ„ฐ ๋ ˆ์ดํŠธ ์†ก์‹ ๊ธฐ๋ฅผ 65nm CMOS์˜ ๋‹ค๋ฅธ ์นฉ์œผ๋กœ ์ œ์ž‘ํ•˜์˜€๋‹ค. QEC๋ฅผ ์ ์šฉํ•œ ์‹คํ—˜ ๊ฒฐ๊ณผ, ์†ก์‹ ๊ธฐ์˜ ์ถœ๋ ฅ ์œ„์ƒ ์˜ค๋ฅ˜๊ฐ€ 0.8ps์˜ ์ž”๋ฅ˜ ์˜ค๋ฅ˜๋กœ ๊ฐ์†Œํ•˜๊ณ , ์ถœ๋ ฅ ๋ฐ์ดํ„ฐ ๋ˆˆ์˜ ํญ๊ณผ ๋†’์ด๊ฐ€ 12.8Gbps์˜ ๋ฐ์ดํ„ฐ ์†๋„์—์„œ ๊ฐ๊ฐ 84 %์™€ 61 % ๊ฐœ์„ ๋˜์—ˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค.CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.1.1 HEAVY LOAD C/A CHANNEL 5 1.1.2 QUARTER-RATE ARCHITECTURE IN DQ TRANSMITTER 7 1.1.3 SUMMARY 8 1.2 THESIS ORGANIZATION 10 CHAPTER 2 ARCHITECTURE 11 2.1 MDS DIMM STRUCTURE 11 2.2 MDS CONTROLLER 15 2.3 MDS CONTROLLER PHY 17 2.3.1 INITIALIZATION SEQUENCE 20 2.3.2 LINK TRAINING FINITE-STATE MACHINE 23 2.3.3 POWER DOWN MODE 28 CHAPTER 3 PULSE-BASED FEED-FORWARD EQUALIZER 29 3.1 COMMAND/ADDRESS CHANNEL 29 3.2 COMMAND/ADDRESS TRANSMITTER 33 3.3 PULSE-BASED FEED-FORWARD EQUALIZER 35 CHAPTER 4 CIRCUIT IMPLEMENTATION 39 4.1 BUILDING BLOCKS 39 4.1.1 ALL-DIGITAL PHASE-LOCKED LOOP (ADPLL) 39 4.1.2 ALL-DIGITAL DELAY-LOCKED LOOP (ADDLL) 44 4.1.3 GLITCH-FREE DCDL CONTROL 47 4.1.4 DUTY-CYCLE CORRECTOR (DCC) 50 4.1.5 DQ/DQS TRANSMITTER 52 4.1.6 DQ/DQS RECEIVER 54 4.1.7 ZQ CALIBRATION 56 4.2 MODELING AND VERIFICATION OF LINK TRAINING 59 4.3 BUILT-IN SELF-TEST CIRCUITS 66 CHAPTER 5 QUADRATURE ERROR CORRECTOR USING REPLICA SERIALIZERS AND PULSE-SHRINKING DELAY LINES 69 5.1 PHASE CORRECTION USING REPLICA SERIALIZERS AND PULSE-SHRINKING UNITS 69 5.2 OVERALL QEC ARCHITECTURE AND ITS OPERATION 71 5.3 FINE DELAY UNIT IN THE PSDL 76 CHAPTER 6 EXPERIMENTAL RESULTS 78 6.1 CONTROLLER PHY 78 6.2 PROTOTYPE QEC 88 CHAPTER 7 CONCLUSION 94 BIBLIOGRAPHY 96Docto

    Programmable CMOS Analog-to-Digital Converter Design and Testability

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    In this work, a programmable second order oversampling CMOS delta-sigma analog-to-digital converter (ADC) design in 0.5ยตm n-well CMOS processes is presented for integration in sensor nodes for wireless sensor networks. The digital cascaded integrator comb (CIC) decimation filter is designed to operate at three different oversampling ratios of 16, 32 and 64 to give three different resolutions of 9, 12 and 14 bits, respectively which impact the power consumption of the sensor nodes. Since the major part of power consumed in the CIC decimator is by the integrators, an alternate design is introduced by inserting coder circuits and reusing the same integrators for different resolutions and oversampling ratios to reduce power consumption. The measured peak signal-to-noise ratio (SNR) for the designed second order delta-sigma modulator is 75.6dB at an oversampling ratio of 64, 62.3dB at an oversampling ratio of 32 and 45.3dB at an oversampling ratio of 16. The implementation of a built-in current sensor (BICS) which takes into account the increased background current of defect-free circuits and the effects of process variation on ฮ”IDDQ testing of CMOS data converters is also presented. The BICS uses frequency as the output for fault detection in CUT. A fault is detected when the output frequency deviates more than ยฑ10% from the reference frequency. The output frequencies of the BICS for various model parameters are simulated to check for the effect of process variation on the frequency deviation. A design for on-chip testability of CMOS ADC by linear ramp histogram technique using synchronous counter as register in code detection unit (CDU) is also presented. A brief overview of the histogram technique, the formulae used to calculate the ADC parameters, the design implemented in 0.5ยตm n-well CMOS process, the results and effectiveness of the design are described. Registers in this design are replaced by 6T-SRAM cells and a hardware optimized on-chip testability of CMOS ADC by linear ramp histogram technique using 6T-SRAM as register in CDU is presented. The on-chip linear ramp histogram technique can be seamlessly combined with ฮ”IDDQ technique for improved testability, increased fault coverage and reliable operation

    Delay Measurements and Self Characterisation on FPGAs

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    This thesis examines new timing measurement methods for self delay characterisation of Field-Programmable Gate Arrays (FPGAs) components and delay measurement of complex circuits on FPGAs. Two novel measurement techniques based on analysis of a circuit's output failure rate and transition probability is proposed for accurate, precise and efficient measurement of propagation delays. The transition probability based method is especially attractive, since it requires no modifications in the circuit-under-test and requires little hardware resources, making it an ideal method for physical delay analysis of FPGA circuits. The relentless advancements in process technology has led to smaller and denser transistors in integrated circuits. While FPGA users benefit from this in terms of increased hardware resources for more complex designs, the actual productivity with FPGA in terms of timing performance (operating frequency, latency and throughput) has lagged behind the potential improvements from the improved technology due to delay variability in FPGA components and the inaccuracy of timing models used in FPGA timing analysis. The ability to measure delay of any arbitrary circuit on FPGA offers many opportunities for on-chip characterisation and physical timing analysis, allowing delay variability to be accurately tracked and variation-aware optimisations to be developed, reducing the productivity gap observed in today's FPGA designs. The measurement techniques are developed into complete self measurement and characterisation platforms in this thesis, demonstrating their practical uses in actual FPGA hardware for cross-chip delay characterisation and accurate delay measurement of both complex combinatorial and sequential circuits, further reinforcing their positions in solving the delay variability problem in FPGAs
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