Analog Front End of 50-Gb/s SiGe BiCMOS Opto-Electrical Receiver in 3-D-Integrated Silicon Photonics Technology

Bozorgi, Farhad; Bruccoleri, Melchiorre; Rahimi, Elham; Repossi, Matteo; Svelto, F.; Mazzanti, Andrea

doi:10.1109/jssc.2021.3094995

Cited by 9 publications

(2 citation statements)

References 22 publications

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“…In a similar implementation [18], paired with a silicon photonic Ge photodiode, the TSFE achieves an input-referred noise current of 0.91 μArms under 16.1 GHz electrical bandwidth, which is even better than SiGe counterparts thanks to the small capacitance from the photodiode, as well as the 3D integrated co-design approach. After its first introduction in [9], [14], the Type-I approach has been widely used adopted, where the EQ realization can be either analog continuous time linear equalizer (CTLE) [19]- [22], or digital decision feedback equalizer (DFE) [23]- [27].…”

Section: Type I Approach: Break Transimpedance Limitmentioning

confidence: 99%

Overcoming the Transimpedance Limit: A Tutorial on Design of Low-Noise TIA

Maloberti

et al. 2022

IEEE Trans. Circuits Syst. II

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Noise is probably the single most important performance metric of the high-speed transimpedance amplifier (TIA), which directly sets the sensitivity of optical receiver. The transimpedance limit which dictates the maximum achievable transimpedance gain of the TIA also turns out to fundamentally limit the TIA noise performance. In this tutorial, we analyze and explore the circuit design approaches to overcome the transimpedance limit, the key to achieve low noise, with design examples, consideration and guidelines. Both approaches can overcome the transimpedance limit, forming an effective toolkit on the design of lownoise high-speed TIA for high-sensitive CMOS optical receiver in current and future applications.

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Section: Type I Approach: Break Transimpedance Limitmentioning

confidence: 99%

Overcoming the Transimpedance Limit: A Tutorial on Design of Low-Noise TIA

Maloberti

et al. 2022

IEEE Trans. Circuits Syst. II

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“…In practical application, there are different emphases for line selection under different conditions. In principle, the selection of bus needs to check the heating principle, thermal stability, and dynamic stability, but generally, the bus at the end of the electric well and later distribution platform cannot check the thermal stability and dynamic stability, while the bus in the substation must check the thermal stability and dynamic stability [9][10][11]. In principle, the selec-tion of cables needs to check the heating principle, voltage loss, and thermal stability, while the high-voltage cables need to check the thermal stability.…”

Section: Obtaining Load Parameters Of Power Cable Layingmentioning

confidence: 99%

Application of Big Data Clustering Algorithm in Electrical Engineering Automation

Zhang¹,

Zhang²

2022

Journal of Applied Mathematics

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The existing control methods have the problem of imperfect automatic distribution linkage model, which leads to excessive noise in the process of practical application. This paper designs an electrical engineering automation control method based on big data clustering algorithm, obtains the load parameters of power cable laying mode, arranges the cable channels hierarchically, extracts the technical characteristics of electrical engineering automation control, integrates the equipment operation information, builds the automatic distribution linkage model, mines the data rules of power index, sets the distribution structure of electrical equipment by big data clustering algorithm, and centrally configures the functional units.Experimental Results. Compared with the other two control methods, the average noise of this control method is 19.774 dB, 35.462 dB, and 36.323 dB, which proves that the control method combined with big data clustering algorithm has better practical application effect.

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