321 research outputs found

    ์˜คํ”„์…‹ ์ œ๊ฑฐ๊ธฐ์˜ ์ ์‘ ์ œ์–ด ๋“ฑํ™”๊ธฐ์™€ ๋ณด์šฐ-๋ ˆ์ดํŠธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋ฅผ ํ™œ์šฉํ•œ ์ˆ˜์‹ ๊ธฐ ์„ค๊ณ„

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2021.8. ์—ผ์ œ์™„.In this thesis, designs of high-speed, low-power wireline receivers (RX) are explained. To be specific, the circuit techniques of DC offset cancellation, merged-summer DFE, stochastic Baud-rate CDR, and the phase detector (PD) for multi-level signal are proposed. At first, an RX with adaptive offset cancellation (AOC) and merged summer decision-feedback equalizer (DFE) is proposed. The proposed AOC engine removes the random DC offset of the data path by examining the random data stream's sampled data and edge outputs. In addition, the proposed RX incorporates a shared-summer DFE in a half-rate structure to reduce power dissipation and hardware complexity of the adaptive equalizer. A prototype chip fabricated in 40 nm CMOS technology occupies an active area of 0.083 mm2. Thanks to the AOC engine, the proposed RX achieves the BER of less than 10-12 in a wide range of data rates: 1.62-10 Gb/s. The proposed RX consumes 18.6 mW at 10 Gb/s over a channel with a 27 dB loss at 5 GHz, exhibiting a figure-of-merit of 0.068 pJ/b/dB. Secondly, a 40 nm CMOS RX with Baud-rate phase-detector (BRPD) is proposed. The RX includes two PDs: the BRPD employing the stochastic technique and the BRPD suitable for multi-level signals. Thanks to the Baud-rate CDRโ€™s advantage, by not using an edge-sampling clock, the proposed CDR can reduce the power consumption by lowering the hardware complexity. Besides, the proposed stochastic phase detector (SPD) tracks an optimal phase-locking point that maximizes the vertical eye opening. Furthermore, despite residual inter-symbol interference, proposed BRPD for multi-level signal secures vertical eye margin, which is especially vulnerable in the multi-level signal. Besides, the proposed BRPD has a unique lock point with an adaptive DFE, unlike conventional Mueller-Muller PD. A prototype chip fabricated in 40 nm CMOS technology occupies an active area of 0.24 mm2. The proposed PAM-4 RX achieves the bit-error-rate less than 10-11 in 48 Gb/s and the power efficiency of 2.42 pJ/b.๋ณธ ๋…ผ๋ฌธ์€ ๊ณ ์†, ์ €์ „๋ ฅ์œผ๋กœ ๋™์ž‘ํ•˜๋Š” ์œ ์„  ์ˆ˜์‹ ๊ธฐ์˜ ์„ค๊ณ„์— ๋Œ€ํ•ด ์„ค๋ช…ํ•˜๊ณ  ์žˆ๋‹ค. ๊ตฌ์ฒด์ ์œผ๋กœ ๋งํ•˜๋ฉด, ์˜คํ”„์…‹ ์ƒ์‡„, ๋ณ‘ํ•ฉ๋œ ์„œ๋จธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฐ์ • ํ”ผ๋“œ๋ฐฑ ๋“ฑํ™”๊ธฐ ๊ธฐ์ˆ , ํ™•๋ฅ ์  ๋ณด์šฐ ๋ ˆ์ดํŠธ ํด๋Ÿญ๊ณผ ๋ฐ์ดํ„ฐ ๋ณต์›๊ธฐ, ๊ทธ๋ฆฌ๊ณ  ๋‹ค์ค‘ ๋ ˆ๋ฒจ ์‹ ํ˜ธ์— ์ ํ•ฉํ•œ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ฒซ์งธ๋กœ, ์ ์‘ ์˜คํ”„์…‹ ์ œ๊ฑฐ ๋ฐ ๋ณ‘ํ•ฉ๋œ ์„œ๋จธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฐ์ • ํ”ผ๋“œ๋ฐฑ ๋“ฑํ™”๊ธฐ๋ฅผ ๊ฐ–์ถ˜ ์ˆ˜์‹ ๊ธฐ๋ฅผ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆ๋œ ์ ์‘ ์˜คํ”„์…‹ ์ œ๊ฑฐ ์—”์ง„์€ ์ž„์˜์˜ ๋ฐ์ดํ„ฐ ์ŠคํŠธ๋ฆผ์˜ ์ƒ˜ํ”Œ๋ง ๋ฐ์ดํ„ฐ, ์—์ง€ ์ถœ๋ ฅ์„ ๊ฒ€์‚ฌํ•˜์—ฌ ๋ฐ์ดํ„ฐ ๊ฒฝ๋กœ ์ƒ์˜ ์˜คํ”„์…‹์„ ์ œ๊ฑฐํ•œ๋‹ค. ๋˜ํ•œ ํ•˜ํ”„ ๋ ˆ์ดํŠธ ๊ตฌ์กฐ์˜ ๋ณ‘ํ•ฉ๋œ ์„œ๋จธ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฐ์ • ํ”ผ๋“œ๋ฐฑ ๋“ฑํ™”๊ธฐ๋Š” ์ „๋ ฅ์˜ ์‚ฌ์šฉ๊ณผ ํ•˜๋“œ์›จ์–ด์˜ ๋ณต์žก์„ฑ์„ ์ค„์ธ๋‹ค. 40 nm CMOS ๊ธฐ์ˆ ๋กœ ์ œ์ž‘๋œ ํ”„๋กœํ† ํƒ€์ž… ์นฉ์€ 0.083 mm2 ์˜ ๋ฉด์ ์„ ๊ฐ€์ง„๋‹ค. ์ ์‘ ์˜คํ”„์…‹ ์ œ๊ฑฐ๊ธฐ ๋•๋ถ„์— ์ œ์•ˆ๋œ ์ˆ˜์‹ ๊ธฐ๋Š” 10-12 ๋ฏธ๋งŒ์˜ BER์„ ๋‹ฌ์„ฑํ•œ๋‹ค. ๋˜ํ•œ ์ œ์•ˆ๋œ ์ˆ˜์‹ ๊ธฐ๋Š” 5GHz์—์„œ 27 dB์˜ ๋กœ์Šค๋ฅผ ๊ฐ–๋Š” ์ฑ„๋„์—์„œ 10 Gb/s์˜ ์†๋„์—์„œ 18.6 mW๋ฅผ ์†Œ๋น„ํ•˜๋ฉฐ 0.068 pJ/b/dB์˜ FoM์„ ๋‹ฌ์„ฑํ•˜์˜€๋‹ค. ๋‘๋ฒˆ์งธ๋กœ, ๋ณด์šฐ ๋ ˆ์ดํŠธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๊ฐ€ ์žˆ๋Š” 40 nm CMOS ์ˆ˜์‹ ๊ธฐ๊ฐ€ ์ œ์•ˆ๋˜์—ˆ๋‹ค. ์ˆ˜์‹ ๊ธฐ์—๋Š” ๋‘๊ฐœ์˜ ๋ณด์šฐ ๋ ˆ์ดํŠธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋ฅผ ํฌํ•จํ•œ๋‹ค. ํ•˜๋‚˜๋Š” ํ™•๋ฅ ๋ก ์  ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜๋Š” ๋ณด์šฐ ๋ ˆ์ดํŠธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ์ด๋‹ค. ๋ณด์šฐ ๋ ˆ์ดํŠธ ํด๋Ÿญ ๋ฐ์ดํ„ฐ ๋ณต์›๊ธฐ์˜ ์žฅ์  ๋•๋ถ„์— ์—์ง€ ์ƒ˜ํ”Œ๋ง ํด๋Ÿญ์„ ์‚ฌ์šฉํ•˜์ง€ ์•Š์Œ์œผ๋กœ์„œ ํŒŒ์›Œ์˜ ์†Œ๋ชจ์™€ ํ•˜๋“œ์›จ์–ด์˜ ๋ณต์žก์„ฑ์„ ์ค„์˜€๋‹ค. ๋˜ํ•œ ํ™•๋ฅ ์  ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋Š” ์ˆ˜์ง ์•„์ด ์˜คํ”„๋‹์„ ์ตœ๋Œ€ํ™”ํ•˜๋Š” ์ตœ์ ์˜ ์œ„์ƒ ์ง€์ ์„ ์ฐพ์„ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋‹ค๋ฅธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋Š” ๋‹ค์ค‘ ๋ ˆ๋ฒจ ์‹ ํ˜ธ์— ์ ํ•ฉํ•œ ๋ฐฉ์‹์ด๋‹ค. ์‹ฌ๋ณผ ๊ฐ„ ๊ฐ„์„ญ์ด ๋‹ค์ค‘ ๋ ˆ๋ฒจ ์‹ ํ˜ธ์— ๋งค์šฐ ์ทจ์•ฝํ•œ ๋ฌธ์ œ๊ฐ€ ์žˆ๋”๋ผ๋„ ์ œ์•ˆ๋œ ๋‹ค์ค‘ ๋ ˆ๋ฒจ ์‹ ํ˜ธ์šฉ ๋ณด์šฐ ๋ ˆ์ดํŠธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋Š” ์ˆ˜์ง ์•„์ด ๋งˆ์ง„์„ ํ™•๋ณดํ•œ๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ์ œ์•ˆ๋œ ๋ณด์šฐ ๋ ˆ์ดํŠธ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ๋Š” ๊ธฐ์กด์˜ ๋ฎฌ๋Ÿฌ-๋ฎ๋Ÿฌ ์œ„์ƒ ๊ฒ€์ถœ๊ธฐ์™€ ๋‹ฌ๋ฆฌ ์ ์‘ํ˜• ๊ฒฐ์ • ํ”ผ๋“œ๋ฐฑ ๋“ฑํ™”๊ธฐ๊ฐ€ ์žˆ๋”๋ผ๋„ ์œ ์ผํ•œ ๋ฝ ์ง€์ ์„ ๊ฐ–๋Š”๋‹ค. ํ”„๋กœํ† ํƒ€์ž… ์นฉ์€ 0.24mm2์˜ ๋ฉด์ ์„ ๊ฐ€์ง„๋‹ค. ์ œ์•ˆ๋œ PAM-4 ์ˆ˜์‹ ๊ธฐ๋Š” 48 Gb/s์˜ ์†๋„์—์„œ 10-11 ๋ฏธ๋งŒ์˜ BER์„ ๊ฐ€์ง€๊ณ , 2.42 pJ/b์˜ FoM์„ ๊ฐ€์ง„๋‹ค.CHAPTER 1 INTRODUCTION 1 1.1 MOTIVATION 1 1.2 THESIS ORGANIZATION 5 CHAPTER 2 BACKGROUNDS 6 2.1 BASIC ARCHITECTURE IN SERIAL LINK 6 2.1.1 SERIAL COMMUNICATION 6 2.1.2 CLOCK AND DATA RECOVERY 8 2.1.3 MULTI-LEVEL PULSE-AMPLITUDE MODULATION 10 2.2 EQUALIZER 12 2.2.1 EQUALIZER OVERVIEW 12 2.2.2 DECISION-FEEDBACK EQUALIZER 15 2.2.3 ADAPTIVE EQUALIZER 18 2.3 CLOCK RECOVERY 21 2.3.1 2X OVERSAMPLING PD ALEXANDER PD 22 2.3.2 BAUD-RATE PD MUELLER MULLER PD 25 CHAPTER 3 AN ADAPTIVE OFFSET CANCELLATION SCHEME AND SHARED SUMMER ADAPTIVE DFE 28 3.1 OVERVIEW 28 3.2 AN ADAPTIVE OFFSET CANCELLATION SCHEME AND SHARED-SUMMER ADAPTIVE DFE FOR LOW POWER RECEIVER 31 3.3 SHARED SUMMER DFE 37 3.4 RECEIVER IMPLEMENTATION 42 3.5 MEASUREMENT RESULTS 45 CHAPTER 4 PAM-4 BAUD-RATE DIGITAL CDR 51 4.1 OVERVIEW 51 4.2 OVERALL ARCHITECTURE 53 4.2.1 PROPOSED BAUD-RATE CDR ARCHITECTURE 53 4.2.2 PROPOSED ANALOG FRONT-END STRUCTURE 59 4.3 STOCHASTIC PHASE DETECTION PAM-4 CDR 64 4.3.1 PROPOSED STOCHASTIC PHASE DETECTION 64 4.3.2 COMPARISON OF THE STOCHASTIC PD WITH SS-MMPD 70 4.4 PHASE DETECTION FOR MULTI-LEVEL SIGNALING 73 4.4.1 PROPOSED BAUD-RATE PHASE DETECTOR FOR MULTI-LEVEL SIGNAL 73 4.4.2 DATA LEVEL AND DFE COEFFICIENT ADAPTATION 79 4.4.3 PROPOSED PHASE DETECTOR 84 4.5 MEASUREMENT RESULT 88 4.5.1 MEASUREMENT OF THE PROPOSED STOCHASTIC BAUD-RATE PHASE DETECTION 94 4.5.2 MEASUREMENT OF THE PROPOSED BAUD-RATE PHASE DETECTION FOR MULTI-LEVEL SIGNAL 97 CHAPTER 5 CONCLUSION 103 BIBLIOGRAPHY 105 ์ดˆ ๋ก 109๋ฐ•

    Available Techniques for Magnetic Hard Disk Drive Read Channel Equalization

    Get PDF
    This paper presents an extensive, non-exhaustive, study of available hard disk drive read channel equalization techniques used in the storage and readback of magnetically stored information. The physical elements and basic principles of the storage processes are introduced together with the basic theoretical definitions and models. Both read and write processes in magnetic storage are explained along with the definition of simple key concepts such as user bit density, intersymbol interference, linear and areal density, read head pulse response models, and coding algorithm

    Adaptive equalizers for multipath compensation in digital microwave communications

    Get PDF
    SIGLEAvailable from British Library Document Supply Centre- DSC:D82998 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Advanced Modulation and Coding Technology Conference

    Get PDF
    The objectives, approach, and status of all current LeRC-sponsored industry contracts and university grants are presented. The following topics are covered: (1) the LeRC Space Communications Program, and Advanced Modulation and Coding Projects; (2) the status of four contracts for development of proof-of-concept modems; (3) modulation and coding work done under three university grants, two small business innovation research contracts, and two demonstration model hardware development contracts; and (4) technology needs and opportunities for future missions

    Minimum Symbol Error Rate Timing Recovery System

    Get PDF
    This thesis presents a timing error detector (TED) used in the symbol timing synchronization subsystem for digital communications. The new timing error detector is designed to minimize the probability of symbol decision error, and it is called minimum symbol error rate TED (MSERTED). The new TED resembles the TED derived using the maximum likelihood (ML) criterion but gives rise to faster convergence relative to MLTED. The new TED requires shorter training sequences for symbol timing recovery. The TED operates on the outputs of the matched filter and estimates the timing offset. The S-curve is used as a tool for analyzing the behavior of the TEDs. The faster convergence of the new TED is shown in simulation results as compared to MLTED. The new TED works well for any two-dimensional constellation with arbitrarily shaped decision regions

    Timing recovery techniques for digital recording systems

    Get PDF

    High Speed Reconfigurable NRZ/PAM4 Transceiver Design Techniques

    Get PDF
    While the majority of wireline standards use simple binary non-return-to-zero (NRZ) signaling, four-level pulse-amplitude modulation (PAM4) standards are emerging to increase bandwidth density. This dissertation proposes efficient implementations for high speed NRZ/PAM4 transceivers. The first prototype includes a dual-mode NRZ/PAM4 serial I/O transmitter which can support both modulations with minimum power and hardware overhead. A source-series-terminated (SST) transmitter achieves 1.2Vpp output swing and employs lookup table (LUT) control of a 31-segment output digital-to-analog converter (DAC) to implement 4/2-tap feed-forward equalization (FFE) in NRZ/PAM4 modes, respectively. Transmitter power is improved with low-overhead analog impedance control in the DAC cells and a quarter-rate serializer based on a tri-state inverter-based mux with dynamic pre-driver gates. The transmitter is designed to work with a receiver that implements an NRZ/PAM4 decision feedback equalizer (DFE) that employs 1 finite impulse response (FIR) and 2 infinite impulse response (IIR) taps for first post-cursor and long-tail ISI cancellation, respectively. Fabricated in GP 65-nm CMOS, the transmitter occupies 0.060mmยฒ area and achieves 16Gb/s NRZ and 32Gb/s PAM4 operation at 10.4 and 4.9 mW/Gb/s while operating over channels with 27.6 and 13.5dB loss at Nyquist, respectively. The second prototype presents a 56Gb/s four-level pulse amplitude modulation (PAM4) quarter-rate wireline receiver which is implemented in a 65nm CMOS process. The frontend utilize a single stage continuous time linear equalizer (CTLE) to boost the main cursor and relax the pre-cursor cancelation requirement, requiring only a 2-tap pre-cursor feed-forward equalization (FFE) on the transmitter side. A 2-tap decision feedback equalizer (DFE) with one finite impulse response (FIR) tap and one infinite impulse response (IIR) tap is employed to cancel first post-cursor and longtail inter-symbol interference (ISI). The FIR tap direct feedback is implemented inside the CML slicers to relax the critical timing of DFE and maximize the achievable data-rate. In addition to the per-slice main 3 data samplers, an error sampler is utilized for background threshold control and an edge-based sampler performs both PLL-based CDR phase detection and generates information for background DFE tap adaptation. The receiver consumes 4.63mW/Gb/s and compensates for up to 20.8dB loss when operated with a 2- tap FFE transmitter. The experimental results and comparison with state-of-the-art shows superior power efficiency of the presented prototypes for similar data-rate and channel loss. The usage of proposed design techniques are not limited to these specific prototypes and can be applied for any wireline transceiver with different modulation, data-rate and CMOS technology

    An Efficient DOCSIS Upstream Equalizer

    Get PDF
    The advancement in the CATV industry has been remarkable. In the beginning, CATV provided a few television channels. Now it provides a variety of advanced services such as video on demand (VOD), Internet access, Pay-Per-View on demand and interactive TV. These advances have increased the popularity of CATV manyfold. Current improvements focus on interactive services with high quality. These interactive services require more upstream (transmission from customer premises to cable operator premises) channel bandwidth. The flow of data through the CATV network in both the upstream and downstream directions is governed by a standard referred to as the Data Over Cable Service Interface Specification (DOCSIS) standard. The latest version is DOCSIS 3.1, which was released in January 2014. The previous version, DOCSIS 3.0, was released in 2006. One component of the upstream communication link is the QAM demodulator. An important component in the QAM demodulator is the equalizer, whose purpose is to remove distortion caused by the imperfect upstream channel as well as the residual timing offset and frequency offset. Most of the timing and frequency offset are corrected by timing and frequency recovery circuits; what remains is referred to as offset. A DOCSIS receiver, and hence the equalizer within, can be implemented with ASIC or FPGA technology. Implementing an equalizer in an ASIC has a large nonrecurring engineering cost, but relatively small per chip production cost. Implementing equalizer in an FPGA has very low non-recurring cost, but a relatively high per chip cost. If the choice technology was based on cost, one would think it would depends only on the volume, but in practice that is not the case. The dominant factor when it comes to profit, is the time-to-market, which makes FPGA technology the only choice. The goal of this thesis is to design a cost optimized equalizer for DOCSIS upstream demodulator and implement in an FPGA. With this in mind, an important objective is to establish a relationship between the equalizerโ€™s critical parameters and its performance. The parameter-performance relationship that has been established in this study revealed that equalizer step size and length parameters should be 1/64 and approximately 20 to yield a near optimum equalizer when considering the MER-convergence time trade-off. In the pursuit of the objective another relationship was established that is useful in determining the accuracy of the timing recovery circuit. That relationship establishes the sensitivity both of the MER and convergence time to timing offset. The equalizer algorithm was implemented in a cost effective manner using DSP Builder. The effort to minimize cost was focused on minimizing the number of multipliers. It is shown that the equalizer can be constructed with 8 multipliers when the proposed time sharing algorithm is implemented
    • โ€ฆ
    corecore