An MLSE Receiver for Electronic Dispersion Compensation of OC-192 Fiber Links

Bae, Hyeon‐Min; Ashbrook, J.; Park, Jin-Ki; Shanbhag, Naresh R.; Singer, Andrew C.; Chopra, Sanjeev

doi:10.1109/jssc.2006.883317

Cited by 63 publications

(17 citation statements)

References 13 publications

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“…Today, researchers in industry and academia continue to explore high-speed ADC designs using the traditional fidelity criteria (SFDR and SFDR), where the analog front-end (AFE) in the receiver is designed to behave as a transparent information conduit. In such links, low-power ADCs are particularly difficult to design, and the effective number of bits (ENOB) usually does not exceed six [3], [5], [10]. This paper describes how system-level information can be incorporated into the design of information preserving, high-speed ADCs such that power is dramatically reduced without compromising the bit error-rate (BER) of the overall communication link.…”

Section: System-assisted Mixed-signal (Sams) Designmentioning

confidence: 99%

System-assisted analog mixed-signal design

Shanbhag

Singer

2011

2011 Design, Automation &Amp; Test in Europe

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In this paper, we propose a system-assisted analog mixed-signal (SAMS) design paradigm whereby the mixed-signal components of a system are designed in an application-aware manner in order to minimize power and enhance robustness in nanoscale process technologies. In a SAMS-based communication link, the digital and analog blocks from the output of the information source at the transmitter to the input of the decision device in the receiver are treated as part of the composite channel. This comprehensive systems-level view enables us to compensate for impairments of not just the physical communication channel but also the intervening circuit blocks, most notably the analog/mixed-signal blocks. This is in stark contrast to what is done today, which is to treat the analog components in the transmitter and the analog front-end at the receiver as transparent waveform preservers. The benefits of the proposed system-aware mixed-signal design approach are illustrated in the context of analog-to-digital converters (ADCs) for high-speed links. CAD challenges that arise in designing system-assisted mixed-signal circuits are also described. 1

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Section: System-assisted Mixed-signal (Sams) Designmentioning

confidence: 99%

System-assisted analog mixed-signal design

Shanbhag

Singer

2011

2011 Design, Automation &Amp; Test in Europe

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“…14, the lock point may be shifted from the ideal position. In some implementation, an auxiliary control loop has been proposed to shift the sampling phase by either using an explicit eye monitor [28], or by detecting the SNR of the received signal [29] or by the BER [13]. …”

Section: Timing Recoverymentioning

confidence: 99%

ADC-based serial I/O receivers

Yang¹,

Chen²

2009

2009 IEEE Custom Integrated Circuits Conference

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Fully digital receiver frontends have garnered interest for serial I/O receivers. While the speed and resolution are achievable in CMOS technologies, the challenge is to achieve low power dissipation so that the I/O links can be integrated in large ASICs. This paper describes different design techniques and shows that the power can be reduced by constraining the specifications and by making architectural trade-offs.

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“…Besides their usage in convolutional decoders and many other applications, MLSE equalizers can also be used in direct detection optical receivers for compensating intersymbol interference caused by CD and PMD [3][4][5][6]. Commercial 10-Gb/s MLSE receivers and DSP chips including the Viterbi decoder with 4, 8 or 16 states have been available for many years now.…”

Section: Introductionmentioning

confidence: 99%

Performance of fractionally spaced MLSE in OOK and PAM4 bandwidth limited optical systems

Prodaniuc

Stojanović

Zhang

2015

Telfor

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Abstract -We analyze the performance of fractionally spaced maximum likelihood sequence estimation (MLSE) equalizers in OOK and PAM4 optical systems using optical and electrical components with cut-off frequencies less than the baud rate. It has been demonstrated that signals suffering from optical and electrical impairments can be efficiently equalized in cheap direct-detection optical receivers using MLSE equalizers with one or two samples, depending on the extent of bandwidth limitations.Keywords -Maximum likelihood sequence estimation, chromatic dispersion, bandlimited systems, direct detection, digital receiver. I. INTRODUCTIONOHERENT optical systems using both polarizations and high-level modulation formats enable data transmission at much higher bit rates compared with noncoherent systems [1]. Most noncoherent systems are based on intensity modulation with direct detection (IM-DD) also known as on/off keying (OOK) and non-return to zero (NRZ). These systems suffer from chromatic dispersion (CD) and polarization mode dispersion (PMD), and their deployment was limited to rates up to 10-Gb/s. Transponders for 40-Gb/s systems use slightly more complex modulation, such as optical duobinary (ODB) and differential phase shift keying (DPSK), and increasingly crowding out 10-Gb/s systems due to increased traffic demands. Further improvements have been achieved by noncoherent 40-Gb/s DQPSK transponders that also suffer from fiber impairments and require expensive external PMD compensators. Most commercial optical links contain dispersion compensation fibers (DCF) and CD has become uncritical for noncoherent systems.Direct detection systems are very attractive because of price, power consumption, size, and so on. In IM-DD 10-Gb/s systems, the received signal can be equalized by several techniques such as feed-forward (FFE), decision feedback (DFE), and MLSE equalizers. FFE equalizers are the least efficient solution while DFE can extend optical Paper received April 2, 2015; revised September 18, 2015; accepted September 20, 2015 reach but suffers from error multiplication at a low optical signal-to-noise ratio (OSNR). Additionally, DFE equalizers experience implementation problems at high bit rates. The MLSE technique is the best one, enabling the longest reach and best performance at the price of very complex digital signal processing (DSP). However, IC technology advances make complex MLSE equalizers feasible. For example, the power consumption of a 64-state MLSE equalizer realized in 28nm technology for 28-Gb/s binary systems is approximately 1.5 W.The Viterbi algorithm significantly reduces finding the most likely transmitted data sequence and enables the realization of practical MLSE decoders [2]. Besides their usage in convolutional decoders and many other applications, MLSE equalizers can also be used in direct detection optical receivers for compensating intersymbol interference caused by CD and PMD [3][4][5][6]. Commercial 10-Gb/s MLSE receivers and DSP chips including the Viterbi decoder with 4, 8 or 16 ...

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An MLSE Receiver for Electronic Dispersion Compensation of OC-192 Fiber Links

Cited by 63 publications

References 13 publications

System-assisted analog mixed-signal design

System-assisted analog mixed-signal design

ADC-based serial I/O receivers

Performance of fractionally spaced MLSE in OOK and PAM4 bandwidth limited optical systems

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