Tri-band CMOS Circuit Dedicated for Ambient RF Energy Harvesting

RÉSUMÉ L'utilisation de systèmes sans fil connait une croissance rapide dans divers domaines tels que les réseaux de téléphonie cellulaire, Wi-Fi, Wi-Max, la radiodiffusion et les communications par satellite. Cette croissance mènera à une quantité considérable d'énergie électromagnétique générée dans l'air ambiant, mais toujours en dessous des limites de sécurité internationales. Ainsi, la recherche au niveau des systèmes de récupération d'énergie RF pour alimenter des appareils électroniques miniaturisés à faible consommation de puissance devient attrayante et prometteuse. Le bloc principal dans un système de récupération d'énergie RF est le redresseur qui détermine l'efficacité et la sensibilité de l'ensemble du système. Étant donné que la puissance RF ambiante est très faible, la quantité d'énergie captée par l'antenne l’est également. En outre, il y a des pertes au niveau du réseau d'adaptation d’impédance qui réduisent encore plus la puissance transmise au bloc redresseur. Par conséquent, la puissance disponible est trop faible pour faire fonctionner des redresseurs classiques. Dans ce mémoire, nous proposons trois redresseurs à trois-étages et à grilles totalement croisées-couplées en utilisant des transistors à faible tension de seuil afin d’opérer à de faibles puissances d'entrée. Les trois redresseurs ont été conçus et intégrés au sein d’une même puce fabriquée en utilisant une technologie CMOS 130nm d’IBM. Ils ont été optimisés à des fréquences de 880MHz, 1960MHz et 2.45GHz respectivement. Les résultats expérimentaux démontrent qu’ils atteignent une efficacité de conversion de puissance maximale de 62%, 62% et 56.2% respectivement. Les mesures montrent également une grande amélioration de l'efficacité à de faibles niveaux de puissance d'entrée. Afin de récupérer l'énergie ambiante de trois principales sources RF au Canada – GSM-850, GSM-1900 et Wi-Fi, un système de redresseur utilisé pour la combinaison de la puissance de ces trois canaux est simulé et analysé. Le système utilise une topologie consistant simplement à connecter les sorties des redresseurs ensemble pour charger le condensateur de charge. En dépit de la grande amélioration de l'efficacité et de la sensibilité dans la plage de 0-5μW, une baisse d'efficacité indésirable se produit aux puissances plus élevées. Ainsi, un nouveau bloc de gestion de l'alimentation est proposé. De plus, une antenne tri-bande est conçue et simulée pour diminuer le volume de l'ensemble du système de récupération d'énergie RF. En particulier, les pertes par réflexion obtenues sont de -25.43dB, -13.92dB et -12.73dB aux fréquences citées plus haut respectivement.---------- ABSTRACT Nowadays, the use of wireless systems has grown rapidly in various domains such as cellular phone networks, Wi-Fi, Wi-Max, radio broadcasting and satellite communications. The growing use of these wireless systems leads to considerable amount of electromagnetic energy generated in ambient air (of course, still below international safety limits). Thus the research in ambient RF energy harvesting system dedicated for powering up low-power-consumption miniaturized electronic devices becomes attractive and promising. The main block in a RF harvesting system is the rectifier which determines the efficiency and sensitivity of the whole system. Since ambient RF power is very low, the amount of power captured by the antenna is extremely low. Besides, there is loss on matching networks, thus the available power given to the rectifier block is too low for traditional rectifiers to operate. Therefore, in this master thesis, three three-stage fully gate cross-coupled rectifiers using low-thresholdvoltage transistors are proposed to overcome the dead zone in low input power range. The three rectifiers optimized at 880MHz, 1960MHz and 2.45GHz frequencies respectively are designed on one chip layout. Their experimental results are retrieved from this custom fabricated integrated circuit using IBM 130nm CMOS technology. They achieve peak efficiencies of 62%, 62% and 56.2% respectively and show great improvements on power conversion efficiency at low input power level. In order to harvest ambient RF energy from the three main RF contributors in Canada – GSM-850, GSM-1900 and Wi-Fi 2.4GHz, a rectifier system used for power combination from these three channels is simulated and analyzed. The system employs a simple topology by connecting the outputs together to charge the load capacitor. In spite of its high improvements on efficiency and sensitivity in 0-5μW range, an undesirable efficiency drop happens at higher input power levels. Thus an idea of power management block is proposed. In addition, a tri-band antenna is designed and simulated so as to decrease the volume of the overall RF energy harvesting system. It achieves return loss of -25.43dB, -13.92dB and - 12.73dB at each desired band respectively

Design and implementation of a multi-modal sensor with on-chip security

With the advancement of technology, wearable devices for fitness tracking, patient monitoring, diagnosis, and disease prevention are finding ways to be woven into modern world reality. CMOS sensors are known to be compact, with low power consumption, making them an inseparable part of wireless medical applications and Internet of Things (IoT). Digital/semi-digital output, by the translation of transmitting data into the frequency domain, takes advantages of both the analog and digital world. However, one of the most critical measures of communication, security, is ignored and not considered for fabrication of an integrated chip. With the advancement of Moore\u27s law and the possibility of having a higher number of transistors and more complex circuits, the feasibility of having on-chip security measures is drawing more attention. One of the fundamental means of secure communication is real-time encryption. Encryption/ciphering occurs when we encode a signal or data, and prevents unauthorized parties from reading or understanding this information. Encryption is the process of transmitting sensitive data securely and with privacy. This measure of security is essential since in biomedical devices, the attacker/hacker can endanger users of IoT or wearable sensors (e.g. attacks at implanted biosensors can cause fatal harm to the user). This work develops 1) A low power and compact multi-modal sensor that can measure temperature and impedance with a quasi-digital output and 2) a low power on-chip signal cipher for real-time data transfer

Development of Robust Analog and Mixed-Signal Circuits in the Presence of Process- Voltage-Temperature Variations

Continued improvements of transceiver systems-on-a-chip play a key role in the advancement of mobile telecommunication products as well as wireless systems in biomedical and remote sensing applications. This dissertation addresses the problems of escalating CMOS process variability and system complexity that diminish the reliability and testability of integrated systems, especially relating to the analog and mixed-signal blocks. The proposed design techniques and circuit-level attributes are aligned with current built-in testing and self-calibration trends for integrated transceivers. In this work, the main focus is on enhancing the performances of analog and mixed-signal blocks with digitally adjustable elements as well as with automatic analog tuning circuits, which are experimentally applied to conventional blocks in the receiver path in order to demonstrate the concepts. The use of digitally controllable elements to compensate for variations is exemplified with two circuits. First, a distortion cancellation method for baseband operational transconductance amplifiers is proposed that enables a third-order intermodulation (IM3) improvement of up to 22dB. Fabricated in a 0.13µm CMOS process with 1.2V supply, a transconductance-capacitor lowpass filter with the linearized amplifiers has a measured IM3 below -70dB (with 0.2V peak-to-peak input signal) and 54.5dB dynamic range over its 195MHz bandwidth. The second circuit is a 3-bit two-step quantizer with adjustable reference levels, which was designed and fabricated in 0.18µm CMOS technology as part of a continuous-time SigmaDelta analog-to-digital converter system. With 5mV resolution at a 400MHz sampling frequency, the quantizer's static power dissipation is 24mW and its die area is 0.4mm^2. An alternative to electrical power detectors is introduced by outlining a strategy for built-in testing of analog circuits with on-chip temperature sensors. Comparisons of an amplifier's measurement results at 1GHz with the measured DC voltage output of an on-chip temperature sensor show that the amplifier's power dissipation can be monitored and its 1-dB compression point can be estimated with less than 1dB error. The sensor has a tunable sensitivity up to 200mV/mW, a power detection range measured up to 16mW, and it occupies a die area of 0.012mm^2 in standard 0.18µm CMOS technology. Finally, an analog calibration technique is discussed to lessen the mismatch between transistors in the differential high-frequency signal path of analog CMOS circuits. The proposed methodology involves auxiliary transistors that sense the existing mismatch as part of a feedback loop for error minimization. It was assessed by performing statistical Monte Carlo simulations of a differential amplifier and a double-balanced mixer designed in CMOS technologies

Miniaturized Optical Probes for Near Infrared Spectroscopy

RÉSUMÉ L’étude de la propagation de la lumière dans des milieux hautement diffus tels que les tissus biologiques (imagerie optique diffuse) est très attrayante, car elle offre la possibilité d’explorer de manière non invasive le milieu se trouvant profondément sous la surface, et de retrouver des informations sur l’absorption (liée à la composition chimique) et sur la diffusion (liée à la microstructure). Dans la gamme spectrale 600-1000 nm, également appelée gamme proche infrarouge (NIR en anglais), l'atténuation de la lumière par le tissu biologique (eau, lipides et hémoglobine) est relativement faible, ce qui permet une pénétration de plusieurs centimètres dans le tissu. En spectroscopie proche infrarouge (NIRS en anglais), de photons sont injectés dans les tissus et le signal émis portant des informations sur les constituants tissulaires est mesuré. La mesure de très faibles signaux dans la plage de longueurs d'ondes visibles et proche infrarouge avec une résolution temporelle de l'ordre de la picoseconde s'est révélée une technique efficace pour étudier des tissus biologiques en imagerie cérébrale fonctionnelle, en mammographie optique et en imagerie moléculaire, sans parler de l'imagerie de la durée de vie de fluorescence, la spectroscopie de corrélation de fluorescence, informations quantiques et bien d’autres. NIRS dans le domaine temporel (TD en anglais) utilise une source de lumière pulsée, généralement un laser fournissant des impulsions lumineuses d'une durée de quelques dizaines de picosecondes, ainsi qu'un appareil de détection avec une résolution temporelle inférieure à la nanoseconde. Le point essentiel de ces mesures est la nécessité d’augmenter la sensibilité pour de plus grandes profondeurs d’investigation, en particulier pour l’imagerie cérébrale fonctionnelle, où la peau, le crâne et le liquide céphalo-rachidien (LCR) masquent fortement le signal cérébral. À ce jour, l'adoption plus large de ces techniques optique non invasives de surveillance est surtout entravée par les composants traditionnels volumineux, coûteux, complexes et fragiles qui ont un impact significatif sur le coût et la dimension de l’ensemble du système. Notre objectif est de développer une sonde NIRS compacte et miniaturisée, qui peut être directement mise en contact avec l'échantillon testé pour obtenir une haute efficacité de détection des photons diffusés, sans avoir recours à des fibres et des lentilles encombrantes pour l'injection et la collection de la lumière. Le système proposé est composé de deux parties: i) une unité d’émission de lumière pulsée et ii) un module de détection à photon unique qui peut être activé et désactivé rapidement. L'unité d'émission de lumière utilisera une source laser pulsée à plus de 80 MHz avec une largeur d'impulsion de picoseconde.----------ABSTRACT The study of light propagation into highly diffusive media like biological tissues (Diffuse Optical Imaging) is highly appealing due to the possibility to explore the medium non-invasively, deep beneath the surface and to recover information both on absorption (related to chemical composition) and on scattering (related to microstructure). In the 600–1000 nm spectral range also known as near-infrared (NIR) range, light attenuation by the biological tissue constituents (i.e. water, lipid, and hemoglobin) is relatively low and allows for penetration through several centimeters of tissue. In near-infrared spectroscopy (NIRS), a light signal is injected into the tissues and the emitted signal carrying information on tissue constituents is measured. The measurement of very faint light signals in the visible and near-infrared wavelength range with picosecond timing resolution has proven to be an effective technique to study biological tissues in functional brain imaging, optical mammography and molecular imaging, not to mention fluorescence lifetime imaging, fluorescence correlation spectroscopy, quantum information and many others. Time Domain (TD) NIRS employs a pulsed light source, typically a laser providing light pulses with duration of a few tens of picoseconds, and a detection circuit with temporal resolution in the sub-nanosecond scale. The key point of these measurements is the need to increase the sensitivity to higher penetration depths of investigation, in particular for functional brain imaging, where skin, skull, and cerebrospinal fluid (CSF) heavily mask the brain signal. To date, the widespread adoption of the non-invasive optical monitoring techniques is mainly hampered by the traditional bulky, expensive, complex and fragile components which significantly impact the overall cost and dimension of the system. Our goal is the development of a miniaturized compact NIRS probe, that can be directly put in contact with the sample under test to obtain high diffused photon harvesting efficiency without the need for cumbersome optical fibers and lenses for light injection and collection. The proposed system is composed of two parts namely; i) pulsed light emission unit and ii) gated single-photon detection module. The light emission unit will employ a laser source pulsed at over 80MHz with picosecond pulse width generator embedded into the probe along with the light detection unit which comprises single-photon detectors integrated with other peripheral control circuitry. Short distance source and detector pairing, most preferably on a single chip has the potential to greatly expedites the traditional method of portable brain imaging

Characterization of process variability and robust optimization of analog circuits

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.Includes bibliographical references (p. 161-174).Continuous scaling of CMOS technology has enabled dramatic performance enhancement of CMOS devices and has provided speed, power, and density improvement in both digital and analog circuits. CMOS millimeter-wave applications operating at more than 50GHz frequencies has become viable in sub-100nm CMOS technologies, providing advantages in cost and high density integration compared to other heterogeneous technologies such as SiGe and III-V compound semiconductors. However, as the operating frequency of CMOS circuits increases, it becomes more difficult to obtain sufficiently wide operating ranges for robust operation in essential analog building blocks such as voltage-controlled oscillators (VCOs) and frequency dividers. The fluctuations of circuit parameters caused by the random and systematic variations in key manufacturing steps become more significant in nano-scale technologies. The process variation of circuit performance is quickly becoming one of the main concerns in high performance analog design. In this thesis, we show design and analysis of a VCO and frequency divider operating beyond 70GHz in a 65nm SOI CMOS technology. The VCO and frequency divider employ design techniques enlarging frequency operating ranges to improve the robustness of circuit operation. Circuit performance is measured from a number of die samples to identify the statistical properties of performance variation. A back-propagation of variation (BPV) scheme based on sensitivity analysis of circuit performance is proposed to extract critical circuit parameter variation using statistical measurement results of the frequency divider. We analyze functional failure caused by performance variability, and propose dynamic and static optimization methods to improve parametric yield. An external bias control is utilized to dynamically tune the divider operating range and to compensate for performance variation. A novel time delay model of a differential CML buffer is proposed to functionally approximate the maximum operating frequency of the frequency divider, which dramatically reduces computational cost of parametric yield estimation. The functional approximation enables the optimization of the VCO and frequency divider parametric yield with a reasonable amount of simulation time.by Daihyun Lim.Ph.D

Linearization of Time-encoded ADCs Architectures for Smart MEMS Sensors in Low Power CMOS Technology

Mención Internacional en el título de doctorIn the last few years, the development of mobile technologies and machine learning applications has increased the demand of MEMS-based digital microphones. Mobile devices have several microphones enabling noise canceling, acoustic beamforming and speech recognition. With the development of machine learning applications the interest to integrate sensors with neural networks has increased. This has driven the interest to develop digital microphones in nanometer CMOS nodes where the microphone analog-front end and digital processing, potentially including neural networks, is integrated on the same chip. Traditionally, analog-to-digital converters (ADCs) in digital microphones have been implemented using high order Sigma-Delta modulators. The most common technique to implement these high order Sigma-Selta modulators is switchedcapacitor CMOS circuits. Recently, to reduce power consumption and make them more suitable for tasks that require always-on operation, such as keyword recognition, switched-capacitor circuits have been improved using inverter-based operational amplifier integrators. Alternatively, switched-capacitor based Sigma- Delta modulators have been replaced by continuous time Sigma-Delta converters. Nevertheless, in both implementations the input signal is voltage encoded across the modulator, making the integration in smaller CMOS nodes more challenging due to the reduced voltage supply. An alternative technique consists on encoding the input signal on time (or frequency) instead of voltage. This is what time-encoded converters do. Lately, time-encoding converters have gained popularity as they are more suitable to nanometer CMOS nodes than Sigma-Delta converters. Among the ones that have drawn more interest we find voltage-controlled oscillator based ADCs (VCOADCs). VCO-ADCs can be implemented using CMOS inverter based ring oscillators (RO) and digital circuitry. They also show noise-shaping properties. This makes them a very interesting alternative for implementation of ADCs in nanometer CMOS nodes. Nevertheless, two main circuit impairments are present in VCO-ADCs, and both come from the oscillator non-idealities. The first of them is the oscillator phase noise, that reduces the resolution of the ADC. The second is the non-linear tuning curve of the oscillator, that results in harmonic distortion at medium to high input amplitudes. In this thesis we analyze the use of time encoding ADCs for MEMS microphones with special focus on ring oscillator based ADCs (RO-ADCs). Firstly, we study the use of a dual-slope based SAR noise shaped quantizer (SAR-NSQ) in sigma-delta loops. This quantizer adds and extra level of noise-shaping to the modulator, improving the resolution. The quantizer is explained, and equations for the noise transfer function (NTF) of a third order sigma-delta using a second order filter and the NSQ are presented. Secondly, we move our attention to the topic of RO-ADCs. We present a high dynamic range MEMS microphone 130nm CMOS chip based on an open-loop VCO-ADC. This dissertation shows the implementation of the analog front-end that includes the oscillator and the MEMS interface, with a focus on achieving low power consumption with low noise and a high dynamic range. The digital circuitry is left to be explained by the coauthor of the chip in his dissertation. The chip achieves a 80dBA peak SNDR and 108dB dynamic range with a THD of 1.5% at 128 dBSPL with a power consumption of 438μW. After that, we analyze the use of a frequency-dependent-resistor (FDR) to implement an unsampled feedback loop around the oscillator. The objective is to reduce distortion. Additionally phase noise mitigation is achieved. A first topology including an operational amplifier to increase the loop gain is analyzed. The design is silicon proven in a 130 nm CMOS chip that achieves a 84 dBA peak SNDR with an analog power consumption of 600μW. A second topology without the operational amplifier is also analyzed. Two chips are designed with this topology. The first chip in 130 nm CMOS is a full VCO-ADC including the frequencyto- digital converter (F2D). This chip achieves a peak SNDR of 76.6 dBA with a power consumption of 482μW. The second chip includes only the oscillator and is implemented in 55nm CMOS. The peak SNDR is 78.15 dBA and the analog power consumption is 153μW. To finish this thesis, two circuits that use an FDR with a ring oscillator are presented. The first is a capacity-to-digital converter (CDC). The second is a filter made with an FDR and an oscillator intended for voice activity detection tasks (VAD).En los últimos años, el desarrollo de las tecnologías móviles y las aplicaciones de machine-learning han aumentado la demanda de micrófonos digitales basados en MEMS. Los dipositivos móviles tienen varios micrófonos que permiten la cancelación de ruido, el beamforming o conformación de haces y el reconocimiento de voz. Con el desarrollo de aplicaciones de aprendizaje automático, el interés por integrar sensores con redes neuronales ha aumentado. Esto ha impulsado el interés por desarrollar micrófonos digitales en nodos CMOS nanométricos donde el front-end analógico y el procesamiento digital del micrófono, que puede incluir redes neuronales, está integrado en el mismo chip. Tradicionalmente, los convertidores analógicos-digitales (ADC) en micrófonos digitales han sido implementados utilizando moduladores Sigma-Delta de orden elevado. La técnica más común para implementar estos moduladores Sigma- Delta es el uso de circuitos CMOS de capacidades conmutadas. Recientemente, para reducir el consumo de potencia y hacerlos más adecuados para las tareas que requieren una operación continua, como el reconocimiento de palabras clave, los convertidores Sigma-Delta de capacidades conmutadas has sido mejorados con el uso de integradores implementados con amplificadores operacionales basados en inversores CMOS. Alternativamente, los Sigma-Delta de capacidades conmutadas han sido reemplazados por moduladores en tiempo continuo. No obstante, en ambas implementaciones, la señal de entrada es codificada en voltaje durante el proceso de conversión, lo que hace que la integración en nodos CMOS más pequeños sea complicada debido a la menor tensión de alimentación. Una técnica alternativa consiste en codificar la señal de entrada en tiempo (o frecuencia) en lugar de tensión. Esto es lo que hacen los convertidores de codificación temporal. Recientemente, los convertidores de codificación temporal han ganado popularidad ya que son más adecuados para nodos CMOS nanométricos que los convertidores Sigma-Delta. Entre los que más interés han despertado encontramos los ADCs basados en osciladores controlados por tensión (VCO-ADC). Los VCO-ADC se pueden implementar usando osciladores en anillo (RO) implementados con inversores CMOS y circuitos digitales. Esta familia de convertidores también tiene conformado de ruido. Esto los convierte en una alternativa muy interesante para la implementación de convertidores en nodos CMOS nanométricos. Sin embargo, dos problemas principales están presentes en este tipo de ADCs debidos ambos a las no idealidades del oscilador. El primero de los problemas es la presencia de ruido de fase en el oscilador, lo que reduce la resolución del ADC. El segundo es la curva de conversion voltaje-frecuencia no lineal del oscilador, lo que causa distorsión a amplitudes medias y altas. En esta tesis analizamos el uso de ADCs de codificación temporal para micrófonos MEMS, con especial interés en ADCS basados en osciladores de anillo (RO-ADC). En primer lugar, estudiamos el uso de un cuantificador SAR con conformado de ruido (SAR-NSQ) en moduladores Sigma-Delta. Este cuantificador agrega un orden adicional de conformado de ruido al modulador, mejorando la resolución. En este documento se explica el cuantificador y obtienen las ecuaciones para la función de transferencia de ruido (NTF) de un sigma-delta de tercer orden usando un filtro de segundo orden y el NSQ. En segundo lugar, dirigimos nuestra atención al tema de los RO-ADC. Presentamos el chip de un micrófono MEMS de alto rango dinámico en CMOS de 130 nm basado en un VCO-ADC de bucle abierto. En esta tesis se explica la implementación del front-end analógico que incluye el oscilador y la interfaz con el MEMS. Esta implementación se ha llevado a cabo con el objetivo de lograr un bajo consumo de potencia, un bajo nivel de ruido y un alto rango dinámico. La descripción del back-end digital se deja para la tesis del couator del chip. La SNDR de pico del chip es de 80dBA y el rango dinámico de 108dB con una THD de 1,5% a 128 dBSPL y un consumo de potencia de 438μW. Finalmente, se analiza el uso de una resistencia dependiente de frecuencia (FDR) para implementar un bucle de realimentación no muestreado alrededor del oscilador. El objetivo es reducir la distorsión. Además, también se logra la mitigación del ruido de fase del oscilador. Se analyza una primera topologia de realimentación incluyendo un amplificador operacional para incrementar la ganancia de bucle. Este diseño se prueba en silicio en un chip CMOS de 130nm que logra un pico de SNDR de 84 dBA con un consumo de potencia de 600μW en la parte analógica. Seguidamente, se analiza una segunda topología sin el amplificador operacional. Se fabrican y miden dos chips diseñados con esta topologia. El primero de ellos en CMOS de 130 nm es un VCO-ADC completo que incluye el convertidor de frecuencia a digital (F2D). Este chip alcanza un pico SNDR de 76,6 dBA con un consumo de potencia de 482μW. El segundo incluye solo el oscilador y está implementado en CMOS de 55nm. El pico SNDR es 78.15 dBA y el el consumo de potencia analógica es de 153μW. Para cerrar esta tesis, se presentan dos circuitos que usan la FDR con un oscilador en anillo. El primero es un convertidor de capacidad a digital (CDC). El segundo es un filtro realizado con una FDR y un oscilador, enfocado a tareas de detección de voz (VAD).Programa de Doctorado en Ingeniería Eléctrica, Electrónica y Automática por la Universidad Carlos III de MadridPresidente: Antonio Jesús Torralba Silgado.- Secretaria: María Luisa López Vallejo.- Vocal: Pieter Rombout

A low power signal front-end for passive UHF RFID transponders with a new clock recovery circuit.

Chan, Chi Fat.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references.Abstracts in English and Chinese.Abstract --- p.2摘要 --- p.5Acknowledgement --- p.7Table of Contents --- p.9List of Figures --- p.11List of Tables --- p.14Chapter 1. --- Introduction --- p.15Chapter 1.2. --- Research Objectives --- p.16Chapter 1.3. --- Thesis Organization --- p.18Chapter 1.4. --- References --- p.19Chapter 2. --- Overview of Passive UHF RFID Transponders --- p.20Chapter 2.1. --- Types of RFID Transponders and Design Challenges of Passive RFID Transponder --- p.20Chapter 2.2. --- Selection of Carrier Frequency --- p.22Chapter 2.3. --- Description of Transponder Construction --- p.22Chapter 2.3.1. --- Power-Generating Circuits --- p.23Chapter 2.3.2. --- Base Band Processor --- p.28Chapter 2.3.3. --- Signal Front-End --- p.29Chapter 2.4. --- Summary --- p.30Chapter 2.5. --- References --- p.31Chapter 3. --- ASK Demodulator for EPC C-l G-2 Transponder --- p.32Chapter 3.1. --- ASK Demodulator Design Considerations --- p.32Chapter 3.1.1. --- Recovered Envelope Distortion --- p.32Chapter 3.1.2. --- Input Power Level Considerations --- p.34Chapter 3.1.3. --- Input RF power Intercepted by ASK Demodulator --- p.36Chapter 3.2. --- ASK Demodulator Design From [3-4] --- p.36Chapter 3.2.1. --- Envelope Waveform Recovery Design --- p.37Chapter 3.2.1.1. --- Voltage Multiplier Branch for Generating Venv --- p.39Chapter 3.2.1.2. --- Voltage Multiplier Branch for Generating Vref --- p.41Chapter 3.2.2. --- Design Considerations for Sensitivity of ASK Demodulator --- p.41Chapter 3.2.3. --- RF Input Power Sharing with Voltage Multiplier --- p.44Chapter 3.2.4. --- ASK Demodulator and Voltage Multiplier Integrated Estimations for Maximum RF Power Input --- p.47Chapter 3.2.5. --- Measurement result and Discussion --- p.49Chapter 3.3. --- Proposed Envelope Detector Circuit --- p.52Chapter 3.3.1. --- Sensitivity Estimation --- p.52Chapter 3.3.2. --- Maximum Tolerable Input Power Estimation --- p.53Chapter 3.3.3. --- Envelope Waveform Recovery of the Proposed Envelope Detector --- p.54Chapter 3.4. --- Summary --- p.57Chapter 3.5. --- References --- p.58Chapter 4. --- Clock Generator for EPC C-l G-2 Transponder --- p.59Chapter 4.1. --- Design Challenges Overview of Clock Generator --- p.59Chapter 4.2. --- Brief Review of PIE Symbols in EPC C1G2 Standard --- p.62Chapter 4.3. --- Proposed Clock Recovery Circuit Based on PIE Symbols for Clock Frequency Calibration --- p.64Chapter 4.3.1. --- Illustration on PIE Symbols for Clock Frequency Calibration --- p.64Chapter 4.3.2. --- Symbol time-length counter --- p.72Chapter 4.3.3. --- The M2.56MHZ Reference Generator and Sampling Frequency Requirement --- p.75Chapter 4.3.4. --- Symbol Length Reconfiguration for Different Tari and FLL Stability --- p.80Chapter 4.3.5. --- Frequency Detector and Loop Filter --- p.83Chapter 4.3.6. --- Proposed DCO Design --- p.84Chapter 4.3.7. --- Measurement Results and Discussions --- p.88Chapter 4.3.7.1. --- Frequency Calibration Measurement Results --- p.89Chapter 4.3.7.2. --- Number x and Tari Variation --- p.92Chapter 4.3.7.3. --- Temperature and Supply Variation --- p.93Chapter 4.3.7.4. --- Transient Supply Variation --- p.94Chapter 4.3.8. --- Works Comparison --- p.95Chapter 4.4. --- Clock Generator with Embedded PIE Decoder --- p.96Chapter 4.4.1. --- Clock Generator for Transponder Review --- p.96Chapter 4.4.2. --- PIE Decoder Review --- p.97Chapter 4.4.3. --- Proposed Clock Generator with Embedded PIE Decoder --- p.97Chapter 4.4.4. --- Measurement Results and Discussions --- p.100Chapter 4.5. --- Summary --- p.103Chapter 4.6. --- References --- p.105Chapter 5. --- ASK Modulator --- p.107Chapter 5.1. --- Introduction to ASK Modulator in RFD Transponder --- p.107Chapter 5.2. --- ASK Modulator Design --- p.109Chapter 5.3. --- ASK Modulator Measurement --- p.110Chapter 5.4. --- Summary --- p.113Chapter 5.5. --- References --- p.113Chapter 6. --- Conclusions --- p.114Chapter 6.1. --- Contribution --- p.114Chapter 6.2. --- Future Development --- p.11