2020
DOI: 10.1109/tcad.2020.2983363
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Synthesis of mm-Wave Wideband Receivers in 28-nm CMOS Technology for Automotive Radar Applications

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Cited by 10 publications
(2 citation statements)
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“…These EDA tools use an optimization engine to interact with the circuit simulator and size the circuits [9]- [18]. However, reports of applying these methodologies to mmWave IC design are almost inexistent, with only a few trials conducted [19]- [21]. This paper applies and adapts the state-of-the-art EDA framework used in [16] to bypass the difficulties faced during the sizing of complex mmWave IC blocks.…”
Section: Introductionmentioning
confidence: 99%
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“…These EDA tools use an optimization engine to interact with the circuit simulator and size the circuits [9]- [18]. However, reports of applying these methodologies to mmWave IC design are almost inexistent, with only a few trials conducted [19]- [21]. This paper applies and adapts the state-of-the-art EDA framework used in [16] to bypass the difficulties faced during the sizing of complex mmWave IC blocks.…”
Section: Introductionmentioning
confidence: 99%
“…The 28-GHz band is selected based on the recommended frequency spectrum for 5G communications [22]. The significant contributions of this work can be summarized as follows: (1) enhancement of an EDA framework to fully optimize 28-GHz LNAs for modern 5G specifications at a 65nm CMOS technology node; (2) analysis and comparison of the complete tradeoffs between gain, noise figure, power consumption, and circuit's footprint of the different LNAs for 5G specifications, obtained with many-objective optimization runs whose setup is transversal to all studied topologies; (3) unlike most recent research contributions in mmWave sizing optimization that focus on smaller design variable and performance spaces [19]- [21], here, complex 26-to-38dimensional design variable spaces are used to explore a 148dimensional performance space, that balances all the design tradeoffs simultaneously between different process, voltage and temperature (PVT) corners without manual intervention; and finally, (4) the advantages of complementing the one-step design with a two-step bottom-up design methodology for mmWave design are studied. The first optimizes all the design parameters at once.…”
Section: Introductionmentioning
confidence: 99%