1,368 research outputs found

    Workshops at IMS2023

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    Lists future events that should be of interest to practitioners and researchers.Peer ReviewedPostprint (published version

    Développement d'une architecture innovante de récepteur radar à 77 GHz et démonstration en CMOS 28 nm FDSOI

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    Grâce à sa capacité à détecter des cibles éloignées malgré une mauvaise visibilité, le radar automobile à 77 GHz joue un rôle important dans l'aide à la conduite. L'utilisation des fréquences millimétriques offre une bonne résolution et une importante capacité d'intégration des circuits. C'est aussi un défi car il faut satisfaire un cahier des charges exigeant sur le bruit et la linéarité du récepteur. Les technologies SiGe BiCMOS ont été les premières utilisées pour la conception de récepteurs radar à 77 GHz. De bons résultats ont été obtenus en se basant sur des architectures utilisant des mélangeurs actifs. Cependant l'utilisation des technologie BiCMOS se traduisait par une consommation élevée, une faible capacité d'intégration et des coûts de production importants. Récemment, l'intégration des procédés CMOS menant à l'augmentation des fréquences de transition rend ces technologies plus attractives pour les applications nécessitant un faible coût et la cointégration de plusieurs fonctions au sein d'une même puce. La littérature sur les récepteurs radars en technologie CMOS à 77 GHz montre que les architectures inspirées par les technologies BiCMOS ne sont pas pertinentes pour cette application. Le but de cette thèse et de montrer que l'utilisation de techniques propres aux technologie CMOS comme l'échantillonnage et l'utilisation de portes logiques permet d'obtenir de très bonnes performances. Dans ce travail, deux nouvelles architectures de récepteurs radars basées sur le principe d'échantillonnage sont proposées. La première architecture est basée sur un mélangeur passif échantillonné qui permet d'obtenir un très bon compromis bruit/linéarité. La seconde exploite les propriétés des mélangeurs sous-échantillonnés afin utiliser une fréquence d'OL trois fois inférieure à la fréquence RF offrant ainsi de très intéressantes simplifications au niveau de la chaîne de distribution du signal d'OL du récepteur. Le contexte de cette étude est expliqué dans le 1er chapitre qui présente les exigences de conception liées à l'application radar et fourni une analyse de l'état de l'art des récepteurs à 77 GHZ. Le chapitre suivant décrit le principe de fonctionnement et l'implémentation d'un mélangeur échantillonné à 77 GHz en technologie CMOS 28- nm FDSOI. Une topologie de mélangeur sous-échantillonné utilisant une fréquence d'OL de 26 GHz pour convertir des signaux RF autour de 77 GHz est ensuite détaillée dans le chapitre 3. Le chapitre 4 conclut cette étude en détaillant l'intégration des mélangeurs étudiés dans les chapitres précédents avec un amplificateur faible bruit dans différents récepteurs radars. Ces architectures de récepteurs basées sur l'échantillonnage sont ensuite comparées entre elles et avec l'état de l'art montrant ainsi leurs avantages et inconvénients. Les résultats de cette comparaison confirment l'intérêt des techniques d'échantillonnage pour la conversion de fréquence dans le cadre de l'application radar.With its ability to detect distant targets under harsh visibility conditions, the 77 GHz automotive radar plays a key role in driving safety. Using mm-wave frequencies allow a good range resolution, a better circuit integration and a wide modulation bandwidth. This is also a challenge for circuit designers who must fulfill stringent requirements especially on the receiver front-end. First 77 GHz radar receivers were manufactured with SiGe BiCMOS processes benefiting from the high transition frequency and high breakdown voltage of Hetero-junction Bipolar Transistors (HBT). Good results have been achieved with active-mixer-based architectures, but these technologies suffer from high power consumptions, limited integration capacity and large production cost. More recently, the scaling down of CMOS processes (coming together with the increase of the transition frequency of the transistors) makes CMOS a good candidate for 77 GHz circuit design, especially when cost target requires single chip solutions. The literature related to CMOS radar receivers highlights that receivers based on BiCMOS architectures generally show poor performances. The aim of this work is to demonstrate that using CMOS specific technics such as sampling and the use of high-speed digital gates should enhance the performance of the receivers. In this work, two innovative radar receiver architectures based on the sampling principle are proposed. The first one shows that this principle can be extended to millimeter wave frequencies to benefit from a very good noise/linearity trade-off. While the second one uses this principle to converts a 77 GHz RF signal by using a 26 GHz LO frequency thus simplifying the LO distribution chain of the receiver. The background of this study is introduced in the chapter 1 presenting the design trade-off related to the 77 GHz radar receiver and provides a review of the existing solutions. The following chapter describes the sampling mixer principle and the implementation of a 77 GHz sampling mixer in 28-nm FDSOI CMOS technology. Then, a sub- sampling mixer topology allowing to convert an RF signal around 77 GHz using a 26 GHz LO frequency is detailed in the chapter 3. The chapter 4 draws the conclusion of this study by showing the implementation of the two proposed sampling-based mixers with a low noise amplifier in 77 GHz front ends. These receiver architectures are compared with the state of the art highlighting the strengths and weaknesses of the proposed solutions. The results of this study demonstrates that using sampling for down conversion can be convenient to address millimeter-wave frequency applications

    Reconfigurable Receiver Front-Ends for Advanced Telecommunication Technologies

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    The exponential growth of converging technologies, including augmented reality, autonomous vehicles, machine-to-machine and machine-to-human interactions, biomedical and environmental sensory systems, and artificial intelligence, is driving the need for robust infrastructural systems capable of handling vast data volumes between end users and service providers. This demand has prompted a significant evolution in wireless communication, with 5G and subsequent generations requiring exponentially improved spectral and energy efficiency compared to their predecessors. Achieving this entails intricate strategies such as advanced digital modulations, broader channel bandwidths, complex spectrum sharing, and carrier aggregation scenarios. A particularly challenging aspect arises in the form of non-contiguous aggregation of up to six carrier components across the frequency range 1 (FR1). This necessitates receiver front-ends to effectively reject out-of-band (OOB) interferences while maintaining high-performance in-band (IB) operation. Reconfigurability becomes pivotal in such dynamic environments, where frequency resource allocation, signal strength, and interference levels continuously change. Software-defined radios (SDRs) and cognitive radios (CRs) emerge as solutions, with direct RF-sampling receivers offering a suitable architecture in which the frequency translation is entirely performed in digital domain to avoid analog mixing issues. Moreover, direct RF- sampling receivers facilitate spectrum observation, which is crucial to identify free zones, and detect interferences. Acoustic and distributed filters offer impressive dynamic range and sharp roll off characteristics, but their bulkiness and lack of electronic adjustment capabilities limit their practicality. Active filters, on the other hand, present opportunities for integration in advanced CMOS technology, addressing size constraints and providing versatile programmability. However, concerns about power consumption, noise generation, and linearity in active filters require careful consideration.This thesis primarily focuses on the design and implementation of a low-voltage, low-power RFFE tailored for direct sampling receivers in 5G FR1 applications. The RFFE consists of a balun low-noise amplifier (LNA), a Q-enhanced filter, and a programmable gain amplifier (PGA). The balun-LNA employs noise cancellation, current reuse, and gm boosting for wideband gain and input impedance matching. Leveraging FD-SOI technology allows for programmable gain and linearity via body biasing. The LNA's operational state ranges between high-performance and high-tolerance modes, which are apt for sensitivityand blocking tests, respectively. The Q-enhanced filter adopts noise-cancelling, current-reuse, and programmable Gm-cells to realize a fourth-order response using two resonators. The fourth-order filter response is achieved by subtracting the individual response of these resonators. Compared to cascaded and magnetically coupled fourth-order filters, this technique maintains the large dynamic range of second-order resonators. Fabricated in 22-nm FD-SOI technology, the RFFE achieves 1%-40% fractional bandwidth (FBW) adjustability from 1.7 GHz to 6.4 GHz, 4.6 dB noise figure (NF) and an OOB third-order intermodulation intercept point (IIP3) of 22 dBm. Furthermore, concerning the implementation uncertainties and potential variations of temperature and supply voltage, design margins have been considered and a hybrid calibration scheme is introduced. A combination of on-chip and off-chip calibration based on noise response is employed to effectively adjust the quality factors, Gm-cells, and resonance frequencies, ensuring desired bandpass response. To optimize and accelerate the calibration process, a reinforcement learning (RL) agent is used.Anticipating future trends, the concept of the Q-enhanced filter extends to a multiple-mode filter for 6G upper mid-band applications. Covering the frequency range from 8 to 20 GHz, this RFFE can be configured as a fourth-order dual-band filter, two bandpass filters (BPFs) with an OOB notch, or a BPF with an IB notch. In cognitive radios, the filter’s transmission zeros can be positioned with respect to the carrier frequencies of interfering signals to yield over 50 dB blocker rejection

    A review of advances in pixel detectors for experiments with high rate and radiation

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    The Large Hadron Collider (LHC) experiments ATLAS and CMS have established hybrid pixel detectors as the instrument of choice for particle tracking and vertexing in high rate and radiation environments, as they operate close to the LHC interaction points. With the High Luminosity-LHC upgrade now in sight, for which the tracking detectors will be completely replaced, new generations of pixel detectors are being devised. They have to address enormous challenges in terms of data throughput and radiation levels, ionizing and non-ionizing, that harm the sensing and readout parts of pixel detectors alike. Advances in microelectronics and microprocessing technologies now enable large scale detector designs with unprecedented performance in measurement precision (space and time), radiation hard sensors and readout chips, hybridization techniques, lightweight supports, and fully monolithic approaches to meet these challenges. This paper reviews the world-wide effort on these developments.Comment: 84 pages with 46 figures. Review article.For submission to Rep. Prog. Phy
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