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Circuits and architectures for broadband spectrum channelizers with sub-band gain control
Broadband receiver architectures for full-band or concurrent multi-band reception of signals are required in several applications. One approach to implementing such receivers is a spectrum channelizer that employs a frequency-folded analog-to-digital converter (FF-ADC). The design downconverts and channelizes a broadband input signal into multiple sub-bands at baseband by employing the harmonics of non-overlapping rectangular clocks. The downconverted and aliased baseband signal in each path is digitized by a baseband ADC, referred to as a sub-ADC below, that operates with a sampling rate that is lower than the Nyquist sampling rate set by the full bandwidth of the input signal. Sub-band separation is performed through digital harmonic rejection (HR) and image rejection (IR). The design operates similar to a time-interleaved ADC, except that it significantly reduces the bandwidth requirement of the samplers. If rectangular pulse waveforms are used in the FF-ADC down-converter, all sub-bands experience nearly equal gain during frequency down-conversion. Since all sub-bands are aliased to baseband before they are separated in the digital domain, a sub-band with large relative power can reduce the sub-ADC dynamic range that is available for other sub-bands, in addition to appearing as a blocker for other sub-bands. The research presented in this dissertation addresses approaches to overcome this issue, by embedding sub-band gain control within an FF-ADC.
Chapter 2 proposes an approach that employs pulse-width-modulated local oscillator (PWM-LO) waveforms in the polyphase paths of an FF-ADC for scaling individual sub-band signal levels at baseband before digitization. The PWM-LO waveforms, which directly drive switches in each path, can be used to vary the gain in each sub-band by varying the level of harmonics in the waveforms. This is achieved by controlling the pulse-widths of the PWM-LO waveforms. This design avoids the requirement for N Ă—N switch matrices and variable transconductance cells in prior demonstrated approaches. The proposed architecture makes it possible to vary the spectral response of the FF-ADC with low signal-path complexity. Prediction of pulse widths for the desired harmonic, and hence the gain profile across all sub-bands, is performed using an off-chip supervised learning approach employing a neural network.
Chapter 3 presents the implementation of a spectrum channelizer employing the PWM-LO-based sub-band amplitude control. The design allows for scaling the relative gain of the sub-bands over a 20-dB range. This relaxes the compression performance of the channelizer baseband and the sub-ADC dynamic range in the presence of sub-bands with significantly higher signal levels. Gain control on individual sub-bands is performed by employing customized PWM-LO waveforms,where the PWM-LO pulses are generated using delay-locked loops (DLLs). The off-chip neural-network based learning technique for estimating the PWM symbol pulse widths required for setting the desired LO harmonic levels is described. A 1.6 GS/s spectrum channelizer IC is implemented in a 65-nm CMOS process to verify the architecture. The measured channelizer gain is 51.6-56.5 dB without gain scaling and provides a range of 37-59 dB with PWM-LO gain control. Gain-scaling at a specific harmonic improves blocker compression in an unattenuated sub-band from -34 dBm to -16 dBm. The in-band gain compression with gain-scaling also increases from -32 dBm to -17 dBm.
Chapter 4 describes a spectrum channelizer that uses voltage-mode downconversion. The approach requires a single voltage-mode input amplifier to drive the downconversion switches. Frequency-folding and sub-band gain control are achieved in a single signal path. This contrasts with the current-mode approach that requires a main FF-ADC path and a separate auxiliary path for sub-band gain control. By avoiding the requirement for an auxiliary input path, the approach presented here significantly simplifies the signal chain with identical gain-scaling capability.
The contributions of this research and scope for future related work are summarized in Chapter 5.Electrical and Computer Engineerin
A 1.8 V 25 Mbps CMOS single-phase, phase-locked loop-based BPSK, QPSK demodulator
A single-phase binary/quadrature phase-shift keying (BPSK/QPSK) demodulator basing on a phase-locked loop (PLL) is described. The demodulator relies on a linear characteristic a rising-edge RESET/SET flip-flop (RSFF) employed as a phase detector. The phase controller takes the average output from the RSFF and performs a sub-ranging/re-scaling operation to provide an input signal to a voltage-controlled oscillator (VCO). The demodulator is truly modular which theoretically can be extended for a multiple-PSK (m-PSK) signal. Symbol-error rate analysis has also been extensively carried out. The proposed BPSK and QPSK demodulators have been fabricated in a 0.18-mm digital complementary metal–oxide–semiconductor (CMOS) process where they operate from a single supply of 1.8 V. At a carrier frequency of 60 MHz, the BPSK and QPSK demodulators achieved maximum symbol rates of 25 and 12.5 Msymb/s while consuming 0.68 and 0.79 mW, respectively. At these maximum symbol rates, the BPSK and QPSK demodulators deliver symbol-error rates less than 7.9×10-10 and 9.8×10-10, respectively where their corresponding energy per bit figures were at 27.2 and 31.7 pJ
Astrophysics with the Laser Interferometer Space Antenna
The Laser Interferometer Space Antenna (LISA) will be a transformative experiment for gravitational wave astronomy, and, as such, it will offer unique opportunities to address many key astrophysical questions in a completely novel way. The synergy with ground-based and space-born instruments in the electromagnetic domain, by enabling multi-messenger observations, will add further to the discovery potential of LISA. The next decade is crucial to prepare the astrophysical community for LISA's first observations. This review outlines the extensive landscape of astrophysical theory, numerical simulations, and astronomical observations that are instrumental for modeling and interpreting the upcoming LISA datastream. To this aim, the current knowledge in three main source classes for LISA is reviewed; ultra-compact stellar-mass binaries, massive black hole binaries, and extreme or interme-diate mass ratio inspirals. The relevant astrophysical processes and the established modeling techniques are summarized. Likewise, open issues and gaps in our understanding of these sources are highlighted, along with an indication of how LISA could help making progress in the different areas. New research avenues that LISA itself, or its joint exploitation with upcoming studies in the electromagnetic domain, will enable, are also illustrated. Improvements in modeling and analysis approaches, such as the combination of numerical simulations and modern data science techniques, are discussed. This review is intended to be a starting point for using LISA as a new discovery tool for understanding our Universe
Advanced Characterization and On-Line Process Monitoring of Additively Manufactured Materials and Components
This reprint is concerned with the microstructural characterization and the defect analysis of metallic additively manufactured (AM) materials and parts. Special attention is paid to the determination of residual stress in such parts and to online monitoring techniques devised to predict the appearance of defects. Finally, several non-destructive testing techniques are employed to assess the quality of AM materials and parts
Astrophysics with the Laser Interferometer Space Antenna
The Laser Interferometer Space Antenna (LISA) will be a transformative experiment for gravitational wave astronomy, and, as such, it will offer unique opportunities to address many key astrophysical questions in a completely novel way. The synergy with ground-based and space-born instruments in the electromagnetic domain, by enabling multi-messenger observations, will add further to the discovery potential of LISA. The next decade is crucial to prepare the astrophysical community for LISA’s first observations. This review outlines the extensive landscape of astrophysical theory, numerical simulations, and astronomical observations that are instrumental for modeling and interpreting the upcoming LISA datastream. To this aim, the current knowledge in three main source classes for LISA is reviewed; ultra-compact stellar-mass binaries, massive black hole binaries, and extreme or interme-diate mass ratio inspirals. The relevant astrophysical processes and the established modeling techniques are summarized. Likewise, open issues and gaps in our understanding of these sources are highlighted, along with an indication of how LISA could help making progress in the different areas. New research avenues that LISA itself, or its joint exploitation with upcoming studies in the electromagnetic domain, will enable, are also illustrated. Improvements in modeling and analysis approaches, such as the combination of numerical simulations and modern data science techniques, are discussed. This review is intended to be a starting point for using LISA as a new discovery tool for understanding our Universe
Time-to-digital converters and histogram builders in SPAD arrays for pulsed-LiDAR
Light Detection and Ranging (LiDAR) is a 3D imaging technique widely used in many applications such as augmented reality, automotive, machine vision, spacecraft navigation and landing. Pulsed-LiDAR is one of the most diffused LiDAR techniques which relies on the measurement of the round-trip travel time of an optical pulse back-scattered from a distant target. Besides the light source and the detector, Time-to-Digital Converters (TDCs) are fundamental components in pulsed-LiDAR systems, since they allow to measure the back-scattered photon arrival times and their performance directly impact on LiDAR system requirements (i.e., range, precision, and measurements rate). In this work, we present a review of recent TDC architectures suitable to be integrated in SPAD-based CMOS arrays and a review of data processing solutions to derive the TOF information. Furthermore, main TDC parameters and processing techniques are described and analyzed considering pulsed-LiDAR requirements
Integrated Electronics for Wireless Imaging Microsystems with CMUT Arrays
Integration of transducer arrays with interface electronics in the form of single-chip CMUT-on-CMOS has emerged into the field of medical ultrasound imaging
and is transforming this field. It has already been used in several commercial products such as handheld full-body imagers and it is being implemented by commercial and academic groups for Intravascular Ultrasound and Intracardiac Echocardiography. However, large attenuation of ultrasonic waves transmitted through
the skull has prevented ultrasound imaging of the brain. This research is a prime
step toward implantable wireless microsystems that use ultrasound to image the
brain by bypassing the skull. These microsystems offer autonomous scanning
(beam steering and focusing) of the brain and transferring data out of the brain for
further processing and image reconstruction.
The objective of the presented research is to develop building blocks of an integrated electronics architecture for CMUT based wireless ultrasound imaging systems while providing a fundamental study on interfacing CMUT arrays with their
associated integrated electronics in terms of electrical power transfer and acoustic
reflection which would potentially lead to more efficient and high-performance
systems.
A fully wireless architecture for ultrasound imaging is demonstrated for the
first time. An on-chip programmable transmit (TX) beamformer enables phased
array focusing and steering of ultrasound waves in the transmit mode while its
on-chip bandpass noise shaping digitizer followed by an ultra-wideband (UWB)
uplink transmitter minimizes the effect of path loss on the transmitted image data
out of the brain. A single-chip application-specific integrated circuit (ASIC) is de-
signed to realize the wireless architecture and interface with array elements, each
of which includes a transceiver (TRX) front-end with a high-voltage (HV) pulser,
a high-voltage T/R switch, and a low-noise amplifier (LNA). Novel design techniques are implemented in the system to enhance the performance of its building
blocks.
Apart from imaging capability, the implantable wireless microsystems can include a pressure sensing readout to measure intracranial pressure. To do so, a
power-efficient readout for pressure sensing is presented. It uses pseudo-pseudo
differential readout topology to cut down the static power consumption of the sensor for further power savings in wireless microsystems.
In addition, the effect of matching and electrical termination on CMUT array
elements is explored leading to new interface structures to improve bandwidth
and sensitivity of CMUT arrays in different operation regions. Comprehensive
analysis, modeling, and simulation methodologies are presented for further investigation.Ph.D
STAB-Jahresbericht 2023 - Proceedings of the 21st STAB-Workshop 2023 in Göttingen
Die STAB-Jahresberichte werden als Sammlung der Kurzfassungen der Vorträge an die Teilnehmer der abwechselnd stattfindenden Symposien und Workshops verteilt. So erscheint der vorliegende STAB-Jahresbericht 2023 anlässlich des 21. STAB-Workshops, der am 7. und 8. November 2023 in Göttingen stattfinden wird. Der Bericht enthält 77 Mitteilungen über Arbeiten aus den Fachgruppen, die auf dem Workshop vorgestellt werden. Den Mitteilungen ist ein Inhaltsverzeichnis (Seite 14 bis Seite 19) vorangestellt, das nach Fachgruppen gegliedert ist. Innerhalb der Fachgruppen sind die Beiträge alphabetisch nach Autoren geordnet. Die Beiträge verteilen sich (bezogen auf die Erstautoren) zu 4 % auf die Industrie, zu 39 % auf Hochschulen und zu 57 % auf Forschungseinrichtungen (DLR, DNW, ISL). Die Autoren und Koautoren
dieses Berichts sind auf den Seiten 174 und 175 aufgefĂĽhrt
Environmental Effects of Stratospheric Ozone Depletion, UV Radiation, and interactions with Climate Change: 2022 Assessment Report
The Montreal Protocol on Substances that Deplete the Ozone Layer was established 35 years ago following the 1985 Vienna Convention for protection of the environment and human health against excessive amounts of harmful ultraviolet-B (UV-B, 280-315 nm) radiation reaching the Earth’s surface due to a reduced UV-B-absorbing ozone layer. The Montreal Protocol, ratified globally by all 198 Parties (countries), controls ca 100 ozone-depleting substances (ODS). These substances have been used in many applications, such as in refrigerants, air conditioners, aerosol propellants, fumigants against pests, fire extinguishers, and foam materials.
The Montreal Protocol has phased out nearly 99% of ODS, including ODS with high global warming potentials such as chlorofluorocarbons (CFC), thus serving a dual purpose. However, some of the replacements for ODS also have high global warming potentials, for example, the hydrofluorocarbons (HFCs). Several of these replacements have been added to the substances controlled by the Montreal Protocol. The HFCs are now being phased down under the Kigali Amendment. As of December 2022, 145 countries have signed the Kigali Amendment, exemplifying key additional outcomes of the Montreal Protocol, namely, that of also curbing climate warming and stimulating innovations to increase energy efficiency of cooling equipment used industrially as well as domestically.
As the concentrations of ODS decline in the upper atmosphere, the stratospheric ozone layer is projected to recover to pre-1980 levels by the middle of the 21st century, assuming full compliance with the control measures of the Montreal Protocol. However, in the coming decades, the ozone layer will be increasingly influenced by emissions of greenhouse gases and ensuing global warming. These trends are highly likely to modify the amount of UV radiation reaching the Earth\u27s surface with implications for the effects on ecosystems and human health.
Against this background, four Panels of experts were established in 1988 to support and advise the Parties to the Montreal Protocol with up-to-date information to facilitate decisions for protecting the stratospheric ozone layer. In 1990 the four Panels were consolidated into three, the Scientific Assessment Panel, the Environmental Effects Assessment Panel, and the Technology and Economic Assessment Panel.
Every four years, each of the Panels provides their Quadrennial Assessments as well as a Synthesis Report that summarises the key findings of all the Panels. In the in-between years leading up to the quadrennial, the Panels continue to inform the Parties to the Montreal Protocol of new scientific information
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