@article{dean_hari_floyd_2023, title={RF-to-Millimeter-Wave Receivers Employing Frequency-Translated Feedback}, volume={10}, ISSN={["1558-173X"]}, DOI={10.1109/JSSC.2023.3322136}, abstractNote={This article presents multi-band direct-conversion receivers (RXs) with frequency-translated negative feedback. The forward path includes a low-noise transconductance amplifier (LNTA) followed by four-phase passive mixers that drive baseband amplifiers. A feedback path employs tunable resistor banks attached to additional four-phase passive mixers, allowing tunable, frequency-selective input matching around a wide range of local oscillator (LO) frequencies. The passive mixers are driven by 25% duty-cycle, non-overlapping quadrature LO waveforms, and two different methods are presented for generating such waveforms. Two RX variants, differing in their LO generation schemes, are fabricated in 45-nm SOI CMOS. The first operates from 6 to 30 GHz, exhibiting greater than 25-dB gain and 4.1–10.5-dB noise figure (NF). A second operates from 10 to 50 GHz, achieving greater than 18-dB gain with 7.1–17-dB NF across the band. For either version, the instantaneous bandwidth is 960 MHz for the highest gain setting and 1375 MHz with reduced gain, measured at 10 GHz LO. The in-band third-order intercept point (IIP3) is $-$ 5.4 dBm, the in-band IIP2 is $+$ 16.5 dBm, and the out-of-band 1-dB blocker compression is greater than $-$ 15 dBm. The RX core consumes 71 mW, while LO circuitry in each variant consumes 48–182 and 72–262 mW from 10 to 50 and 6 to 30 GHz, respectively.}, journal={IEEE JOURNAL OF SOLID-STATE CIRCUITS}, author={Dean, Jacob and Hari, Sandeep and Floyd, Brian A.}, year={2023}, month={Oct} } @article{wen_dean_floyd_franzon_2022, title={High Dimensional Optimization for Electronic Design}, DOI={10.1145/3551901.3556495}, abstractNote={Bayesian optimization (BO) samples points of interest to update a surrogate model for a blackbox function. This makes it a powerful technique to optimize electronic designs which have unknown objective functions and demand high computational cost of simulation. Unfortunately, Bayesian optimization suffers from scalability issues, e.g., it can perform well in problems up to 20 dimensions. This paper addresses the curse of dimensionality and proposes an algorithm entitled Inspection-based Combo Random Embedding Bayesian Optimization (IC-REMBO). IC-REMBO improves the effectiveness and efficiency of the Random EMbedding Bayesian Optimization (REMBO) approach, which is a state-of-the-art high dimensional optimization method. Generally, it inspects the space near local optima to explore more points near local optima, so that it mitigates the over-exploration on boundaries and embedding distortion in REMBO. Consequently, it helps escape from local optima and provides a family of feasible solutions when inspecting near global optimum within a limited number of iterations.The effectiveness and efficiency of the proposed algorithm are compared with the state-of-the-art REMBO when optimizing a mmWave receiver with 38 calibration parameters to meet 4 objectives. The optimization results are close to that of a human expert. To the best of our knowledge, this is the first time applying REMBO or inspection method to electronic design.}, journal={MLCAD '22: PROCEEDINGS OF THE 2022 ACM/IEEE 4TH WORKSHOP ON MACHINE LEARNING FOR CAD (MLCAD)}, author={Wen, Yuejiang and Dean, Jacob and Floyd, Brian A. and Franzon, Paul D.}, year={2022}, pages={153–157} } @article{dean_hari_bhat_floyd_2021, title={A 4-31GHz Direct-Conversion Receiver Employing Frequency-Translated Feedback}, ISSN={["1930-8833"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85118428066&partnerID=MN8TOARS}, DOI={10.1109/ESSCIRC53450.2021.9567779}, abstractNote={This paper presents a multi-band direct-conversion receiver with frequency-translated feedback. The forward path includes a low-noise transconductance amplifier followed by four-phase passive mixers which drive baseband amplifiers, and the feedback path employs tunable resistor banks attached to additional four-phase passive mixers, allowing tunable frequency-selective input matching. The receiver operates from 4–31 GHz exhibiting greater than 25 dB gain through 22 GHz and greater than 17 dB gain through 31 GHz. Noise figure is 5.2 to 9.8 dB, rising with frequency; input-referred 1-dB compression point is -17 dBm; and in-band IIP3 is -6.6 dBm. Out-of-band 1-dB blocker compression is greater than -12 dBm. The receiver core consumes 91 mW, whereas an integrated 2:1 frequency divider and pass-gate buffer for generating non-overlapping four-phase clocks consumes an additional 87–227 mW from 4–31 GHz, respectively.}, journal={ESSCIRC 2021 - IEEE 47TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC)}, author={Dean, Jacob and Hari, Sandeep and Bhat, Avinash and Floyd, Brian A.}, year={2021}, pages={187–190} }