A Maximum Likelihood Sequence Equalizing Architecture Using Viterbi Algorithm for ADC-Based Serial Link

Channel impairments in high data rates make Analog-to-digital (ADC) serial link a very attractive choice in terms of bandwidth efficient modulation; however, power limitation of these receivers make the ADC front-end design rather challenging [3]. By replacing traditional symbol by-symbol digital equalizer with a maximum likelihood sequence estimator (MLSE) receiver, in ADC serial link, we can produce a more optimal equalizing architecture in terms of noise, and simplify the complexity of the design in the analog front-end [7]. MLSE architecture is implemented using the Viterbi algorithm, in Matlab, and the parameters for the analog front-end circuits were defined by plotting the bit error rate (BER) as a function of different SNRs. Comparing the BER between the traditionally used MMSE equalizer and MLSE receiver BER was found to be lower for same SNR. Although using the Viterbi algorithm to determine the original signal sequence may make MLSE computationally challenging, the simplicity of analog front-end and lower BER makes this an effective choice for high bandwidth transmission in a digital-heavy receiver

Design of High-Speed Power-Efficient A/D Converters for Wireline ADC-Based Receiver Applications

Serial input/output (I/O) data rates are increasing in order to support the explosion in network traffic driven by big data applications such as the Internet of Things (IoT), cloud computing and etc. As the high-speed data symbol times shrink, this results in an increased amount of inter-symbol interference (ISI) for transmission over both severe low-pass electrical channels and dispersive optical channels. This necessitates increased equalization complexity and consideration of advanced modulation schemes, such as four-level pulse amplitude modulation (PAM-4). Serial links which utilize an analog-to-digital converter (ADC) receiver front-end offer a potential solution, as they enable more powerful and flexible digital signal processing (DSP) for equalization and symbol detection and can easily support advanced modulation schemes. Moreover, the DSP back-end provides robustness to process, voltage, and temperature (PVT) variations, benefits from improved area and power with CMOS technology scaling and offers easy design transfer between different technology nodes and thus improved time-to-market. However, ADC-based receivers generally consume higher power relative to their mixed-signal counterparts because of the significant power consumed by conventional multi-GS/s ADC implementations. This motivates exploration of energy-efficient ADC designs with moderate resolution and very high sampling rates to support data rates at or above 50Gb/s. This dissertation presents two power-efficient designs of ≥25GS/s time-interleaved ADCs for ADC-based wireline receivers. The first prototype includes the implementation of a 6b 25GS/s time-interleaved multi-bit search ADC in 65nm CMOS with a soft-decision selection algorithm that provides redundancy for relaxed track-and-hold (T/H) settling and improved metastability tolerance, achieving a figure-of-merit (FoM) of 143fJ/conversion step and 1.76pJ/bit for a PAM-4 receiver design. The second prototype features the design of a 52Gb/s PAM-4 ADC-based receiver in 65nm CMOS, where the front-end consists of a 4-stage continuous-time linear equalizer (CTLE)/variable gain amplifier (VGA) and a 6b 26GS/s time-interleaved SAR ADC with a comparator-assisted 2b/stage structure for reduced digital-to-analog converter (DAC) complexity and a 3-tap embedded feed-forward equalizer (FFE) for relaxed ADC resolution requirement. The receiver front-end achieves an efficiency of 4.53bJ/bit, while compensating for up to 31dB loss with DSP and no transmitter (TX) equalization

Equalization Architectures for High Speed ADC-Based Serial I/O Receivers

The growth in worldwide network traffic due to the rise of cloud computing and wireless video consumption has required servers and routers to support increased serial I/O data rates over legacy channels with significant frequency-dependent attenuation. For these high-loss channel applications, ADC-based high-speed links are being considered due to their ability to enable powerful digital signal processing (DSP) algorithms for equalization and symbol detection. Relative to mixed-signal equalizers, digital implementations offer robustness to process, voltage and temperature (PVT) variations, are easier to reconfigure, and can leverage CMOS technology scaling in a straight-forward manner. Despite these advantages, ADC-based receivers are generally more complex and have higher power consumption relative to mixed-signal receivers. The ensuing digital equalization can also consume a significant amount of power which is comparable to the ADC contribution. Novel techniques to reduce complexity and improve power efficiency, both for the ADC and the subsequent digital equalization, are necessary. This dissertation presents efficient modeling and implementation approaches for ADC-based serial I/O receivers. A statistical modeling framework is developed, which is able to capture ADC related errors, including quantization noise, INL/DNL errors and time interleaving mismatch errors. A novel 10GS/s hybrid ADC-based receiver, which combines both embedded and digital equalization, is then presented. Leveraging a time-interleaved asynchronous successive approximation ADC architecture, a new structure for 3-tap embedded FFE inside the ADC with low power/area overhead is used. In addition, a dynamically-enabled digital 4-tap FFE + 3-tap DFE equalizer architecture is introduced, which uses reliable symbol detection to achieve remarkable savings in the digital equalization power. Measurement results over several FR4 channels verify the accuracy of the modeling approach and the effectiveness of the proposed receiver. The comparison of the fabricated prototype against state-of-the-art ADC-based receivers shows the ability of the proposed archi-tecture to compensate for the highest loss channel, while achieving the best power efficiency among other works