Noise Analysis of Multiplicative Distributed Amplifiers

Odedeyi, Temitope; Darwazeh, Izzat

doi:10.1109/iscas.2019.8702306

Cited by 6 publications

(10 citation statements)

References 29 publications

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“…It may be seen from (4), that F can be reduced by making Z πb , larger. This would also increase the gain of the amplifier but the bandwidth would be reduced commensurately [30], [34]. A similar observation can be made for the FET-based SSDA, where F is derived as [32]…”

Section: Merit Of the Ssda And The M-ssda Formentioning

confidence: 80%

“…2) Noise performance limitation of SSDAs: While the SSDA topology presents notable advantages in wideband performance and design simplicity, with higher gain available from its multiplicative derivatives, it has a poorer signalto-noise behaviour compared to multi-stage DAs. A notable merit of multi-stage DAs is that with each additional stage, the overall noise figure reduces in the amplifier passband, improving SNR at the output -a merit that the SSDA and its derivative amplifiers do not share [31]- [34]. However, the inherent flexibilities of the DA topology provide options for noise performance optimisation based on available trade-offs.…”

Section: Merit Of the Ssda And The M-ssda Formentioning

confidence: 99%

“…However, the multi-tier structure of multiplicative DAs present trade-offs that may be explored towards achieving gain/bandwidth/noise performance goals. For instance, in [34], it was established that multiplicative DAs follow the noise scaling mechanism of cascaded systems, such that the overall noise factor of the amplifier is primarily determined by the noise factor of the first gain stage. Hence, a viable design approach is to make the noise factor of the first stage of the…”

Section: B the M-ssdamentioning

confidence: 99%

See 2 more Smart Citations

InP DHBT Single-Stage and Multiplicative Distributed Amplifiers for Ultra- Wideband Amplification

Odedeyi

Giannakopoulos

Zirath

et al. 2020

IEEE Trans. Circuits Syst. I

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This paper highlights the gain-bandwidth merit of the single stage distributed amplifier (SSDA) and its derivative multiplicative amplifier topologies (i.e. the cascaded SSDA (C-SSDA) and the matrix SSDA (M-SSDA)), for ultra-wideband amplification. Two new monolithic microwave integrated circuit (MMIC) amplifiers are presented: an SSDA MMIC with 7.1 dB average gain and 200 GHz bandwidth; and the world's first M-SSDA, which has a 12 dB average gain and 170 GHz bandwidth. Both amplifiers are based on an Indium Phosphide DHBT process with 250 nm emitter width. To the authors best knowledge, the SSDA has the widest bandwidth for any single stage amplifier reported to date. Furthermore, the three tier M-SSDA has the highest bandwidth and gain-bandwidth product for any matrix amplifier reported to date.

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Section: Merit Of the Ssda And The M-ssda Formentioning

confidence: 80%

Section: Merit Of the Ssda And The M-ssda Formentioning

confidence: 99%

Section: B the M-ssdamentioning

confidence: 99%

See 1 more Smart Citation

InP DHBT Single-Stage and Multiplicative Distributed Amplifiers for Ultra- Wideband Amplification

Odedeyi

Giannakopoulos

Zirath

et al. 2020

IEEE Trans. Circuits Syst. I

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“…Further design trade-offs that allow for performance optimisation are available in the multiplicative DA. In [15], it is established that multiplicative DAs follow the noise scaling mechanism of cascaded systems, such that the overall noise factor of the amplifier is primarily established by the noise factor of the first gain stage. (The Friis' noise formula has been modified in [15], to describe the noise factor of multiplicative DAs.)…”

Section: Merit Of the Ssda And Multiplicative Da Formentioning

confidence: 99%

“…In [15], it is established that multiplicative DAs follow the noise scaling mechanism of cascaded systems, such that the overall noise factor of the amplifier is primarily established by the noise factor of the first gain stage. (The Friis' noise formula has been modified in [15], to describe the noise factor of multiplicative DAs.) A viable design approach is to to make the noise factor of the first stage of the multiplicative DA as low as possible at appreciable single stage gain.…”

Section: Merit Of the Ssda And Multiplicative Da Formentioning

confidence: 99%

Single-Stage and Multiplicative Distributed Amplifiers for 200GHz+ Amplification

Odedeyi

Giannakopoulos

Zirath

et al. 2019

2019 IEEE Asia-Pacific Microwave Conference (APMC)

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In this paper, we review the merit of the single stage distributed amplifier (SSDA) and consider the potential of its derivative multiplicative amplifier topologies (the cascaded and the matrix SSDA) for ultra-wideband amplification. We highlight the significant bandwidth advantage that the SSDA topology offers and the higher gain potential of multiplicative DAs compared to the conventional multi-stage DA. Furthermore, we describe how available design trade-offs may be used to offset inherent noise performance limitations of this family of distributed amplifiers. We also report a new SSDA MMIC with 7.1 dB gain at 200 GHz bandwidth and a high frequency gain tuning range of 5 dB to 12 dB, based on an Indium Phosphide DHBT process with 250 nm emitter width.

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A knowledge-guided process planning approach with reinforcement learning

Zhang,

Wu,

Chen

et al. 2024

Journal of Engineering Design

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With the wide application of computer-aided technologies such as CAD and CAM in the manufacturing industry, more and more process documents and design documents generate multi-source process knowledge and expert experience. However, due to the diverse and complex representation of process knowledge, more effective methods are needed to mine a large amount of multi-source information and the explicit and implicit relationships between knowledge. Effective knowledge reuse in process planning still needs to be improved. This paper proposes a reinforcement learning approach that combines knowledge graphs and process decision-making activities in process planning to exploit the learning potential of process knowledge graphs. Firstly, a reinforcement learning environment for process planning is introduced to model the process planning problem as a sequential recommendation of process knowledge. Then, this paper designs in detail the state representation that combines process sequences and potential relationships between processes. This paper also creates a composite reward function that combines the process planning environment. In addition, a new algorithm is proposed for learning the proposed model more efficiently. Experimental results show that the network structure proposed in this paper has more accurate recommendation results than other methods. Finally, this paper takes flange as an example to verify the feasibility and effectiveness of the proposed method.

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Noise Analysis of Multiplicative Distributed Amplifiers

Cited by 6 publications

References 29 publications

InP DHBT Single-Stage and Multiplicative Distributed Amplifiers for Ultra- Wideband Amplification

InP DHBT Single-Stage and Multiplicative Distributed Amplifiers for Ultra- Wideband Amplification

Single-Stage and Multiplicative Distributed Amplifiers for 200GHz+ Amplification

A knowledge-guided process planning approach with reinforcement learning

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